Index
Fuzzy Hybrid Computing in Construction Engineering and Management
ISBN: 978-1-78743-869-9, eISBN: 978-1-78743-868-2
Publication date: 5 October 2018
This content is currently only available as a PDF
Citation
(2018), "Index", Fayek, A.R. (Ed.) Fuzzy Hybrid Computing in Construction Engineering and Management, Emerald Publishing Limited, Leeds, pp. 475-494. https://doi.org/10.1108/978-1-78743-868-220181014
Publisher
:Emerald Publishing Limited
Copyright © 2018 Emerald Publishing Limited
INDEX
AA. See Arithmetic averaging (AA)
ABM. See Agent-based modelling (ABM)
Adaptive neuro-fuzzy inference system (ANFIS)
, 63, 391, 394–395, 399–400
forecast accuracy of developed models
, 401–402
input selection and prediction modelling
, 396–397
limitations, directions for future studies and potential applications
, 404–405
practical implications
, 403–404
R-Code for ANFIS
, 410–411
tender price index forecasting
, 402–403
univariate modelling techniques
, 391–394
univariate models application
, 398
Advanced modelling techniques
, 416, 419
AEC company. See Architect-engineer-construction Company (AEC company)
Age hierarchy
, 377
Agenarisk software package
, 306
Agent unified modelling language (AUML)
, 164, 165
Agent-based model
, 163–164
Agent-based modelling (ABM)
, 83–84, 154–155
Agglomerative hierarchical clustering
, 67
Aggregated score
, 343
Aggregation
, 232, 242–243
See also Fuzzy aggregation
Agreement. See Idempotence
AHP. See Analytic hierarchy process (AHP)
AI models. See Artificial intelligence models (AI models)
AIC. See Akaike information criteria (AIC)
Akaike information criteria (AIC)
, 399
Algebraic product t-norm
, 124–131
α-cut method
, 19–20, 160
Analytic hierarchy process (AHP)
, 21–22, 70, 185–186, 189, 235, 280, 285, 306
fuzzy extensions
, 280–288
Analytic network process (ANP)
, 83, 185–186, 190
ANFIS. See Adaptive neuro-fuzzy inference system (ANFIS)
ANN. See Artificial neural network (ANN)
ANP. See Analytic network process (ANP)
Ant colony system
, 42, 92
Appraisal
, 313
AR model. See Autoregression model (AR model)
Archimedean t-norms
, 117–118
Architect-engineer-construction company (AEC company)
, 415
project execution process for
, 416
Area methods
, 286–287
Arithmetic averaging (AA)
, 242–243
Arm gestures, robotic manipulator modelling of
, 453–460
Artificial bee colony algorithm
, 42
Artificial intelligence models (AI models)
, 64, 392, 393, 402, 404–405
Artificial neural network (ANN)
, 52, 157
hybridisation of fuzzy logic with
, 52, 63–66
Associativity property
, 245
@Risk software package
, 306, 311
Attitude towards risk. See Index of optimism
AUML. See Agent unified modelling language (AUML)
Autoregression model (AR model)
, 393
Average tolerance value
, 327
Backward stage process
, 395
Bell-shaped (Gaussian) membership function
, 10
BI. See Business intelligence (BI)
BIM. See Building information modelling (BIM)
Black box models
, 405
BOT projects. See Build, operate and transfer projects (BOT projects)
Bounded difference t-norm
, 131–136
Box–Jenkins model
, 391, 393, 398–399
Build, operate and transfer projects (BOT projects)
, 90, 161
Building design applications
, 264
Building information modelling (BIM)
, 366, 415
Business intelligence (BI)
, 358
C-IOWA. See Consistency IOWA (C-IOWA)
Capital expenditure (CAPEX)
, 305
CAPEX. See Capital expenditure (CAPEX)
Cash flow analysis of resultant revenue
, 311
Causal loop diagrams (CLDs)
, 152–153
Causal models
, 421
Cause-and-effect analysis
complex
, 434–436
compound
, 433–434
simple
, 424–432
Cause-effect approach
, 415
Centre of area method (COA method)
, 162, 268
Centre of gravity (COG)
, 16
CFPRs. See Consistent fuzzy preference relations (CFPRs)
CFs. See Contribution factors (CFs)
Chaotic-based DE technique
, 68
Characteristic of fuzzy set
alpha-cut (α-cut)
, 11–13, 19
complement
, 14, 18
core
, 11
height
, 11
support
, 11
CI. See Consistency index (CI)
CID. See Concept identifier (CID)
CL. See Complexity level (CL)
Classical set
, 7
See also Crisp set
Classical set theory
, 8–9
CLDs. See Causal loop diagrams (CLDs)
Closeness coefficient (CC). See Relative closeness index
CLP. See Construction labour productivity (CLP)
Clustering
agglomerative hierarchical clustering
, 66
methods based on
, 23–24
model-based clustering
, 67
partitional k-means clustering
, 67
See also Fuzzy clustering
CM. See Construction management (CM)
CM–FCM. See Construction management FCM modelling (CM–FCM)
COA method. See Centre of area method (COA method)
Coefficient of determination (R
2)
, 64, 69
Coefficient of variation (COV)
, 317
COG. See Centre of gravity (COG)
Cognitive maps
, 419
See also Fuzzy cognitive map (FCM)
Commutativity property
, 244
Complex cause-and-effect example
, 434–436
Complexity level (CL)
, 293, 295, 296
Compound cause-and-effect analysis
, 433–434, 437
Computational discrete methods
, 119
Computational methods
, 119
extended fuzzy arithmetic
using algebraic product t-norm
, 124–131
using bounded difference t-norm
, 131–136
using drastic product t-norm
, 137–141
for implementation
of extended fuzzy arithmetic
, 123–124
of standard fuzzy arithmetic
, 121–123
triangular fuzzy numbers
, 120
Concept identifier (CID)
, 434
Concordance index
, 191
Consecutive fuzzy arithmetic operations
, 116
Consensus
, 231–232, 233, 234–235, 236–237, 239, 241, 242, 270, 344
See also Fuzzy consensus
Consensus index
, 264
Consensus measures
, 236
Consensus-reaching process
, 234
Consistency index (CI)
, 284
Consistency IOWA (C-IOWA)
, 249
Consistency of fuzzy pairwise comparisons
, 284–285
check for
, 290
Consistency ratio (CR)
, 198–199, 284
Consistent fuzzy preference relations (CFPRs)
, 266
Constrained fuzzy arithmetic
, 286, 287
Construction
, 5, 9, 20, 24, 30, 39, 50, 63, 64, 80, 89, 95, 141, 150–151, 155, 171, 187, 283
bidding applications
, 268–269
construction risk analysis, fuzzy hybrid techniques in
, 308
cost
, 390
engineering
, 358, 423
CM–FCM model
, 423–424
complex cause-and-effect example
, 434–436
compound cause-and-effect analysis
, 433–434, 437
simple cause-and-effect analysis
, 424–432
FSD model of quality management practice
, 168–170
fuzzy AHP application in construction project complexity evaluation
, 288
consistency of fuzzy pairwise comparisons
, 290
fuzzy pairwise comparison matrices
, 289–290
hierarchical structure of project complexity
, 288–289
local and global weights of criteria and sub-criteria
, 290–293
project complexity and performance
, 293–295
fuzzy arithmetic operations in construction applications
, 141–145
fuzzy consensus reaching and aggregation in construction industry applications
, 263–270
fuzzy simulation technique
, 168–171
applications of fuzzy system dynamics (FSD)
, 168–170
for construction modelling
, 167–168
fuzzy agent-based modelling (ABM) applications
, 170–171, 172
managers
, 414
procurement
, 266–267
productivity applications
, 269–270
sector
, 5
simulation techniques
, 150, 151–155
type
, 371–372
Construction labour productivity (CLP)
, 67
Construction management (CM)
, 414–417
enhancing CM tools and practices with FCM
, 417–419
Construction management FCM modelling (CM–FCM)
, 416, 419, 423–424, 432, 438–446
Construction projects
, 185
essential tasks in construction project management
, 364
cost management
, 364–365
planning analysis
, 366–367
safety analysis
, 365–366
life cycle
, 358
planning
, 366
Construction supply chain (CSC)
, 42
optimization
, 48
Context awareness
, 368
Contract-related risks
, 418
Contribution factors (CFs)
, 265
Convex fuzzy set
, 12–13
Cooperative neuro-fuzzy system
, 65–66
CoSMo
, 268–269
Cost
, 390
cost/tender price index
, 390
estimation
, 364
management
, 364–365
COV. See Coefficient of variation (COV)
CR. See Consistency ratio (CR)
Crane guidance
motion sensing
, 460
signals
, 452–453
Crane guidance gesture recognition
, 453
experimental results
, 466
fuzzy rule for stop
, 470, 471
hoist
, 467
human motions
, 452–453
lower
, 468
motion capture with Kinect camera and Myo Armband sensors
, 463–465
robotic manipulator modelling of arm gestures
, 453–460
Sugeno-type fuzzy inference system
, 460–463
swing
, 469
travel
, 470
Crisp hierarchy
, 363
Crisp set
, 11–13, 14, 18
See also Classical set
Crystalball
, 306
CSC. See Construction supply chain (CSC)
‘Cube’ of project complexity
, 288–289
Data management strategy
, 358
Data warehouse (DW)
, 359–360
Data-driven methods
, 20, 22
Datacube
, 370
DB project delivery. See Design build project delivery (DB project delivery)
DE. See Differential evolution (DE)
Decision criteria
, 341
Decision makers (DMs)
, 339
Decision support system
, 45, 358, 419
Decision-making
, 421
in construction management
applications of IF-MCDM
, 221
FMCDM methods and applications
, 197–220
fuzzy set theory and typical extensions
, 192–197
MCDM process and methods
, 186–192
processes
, 5, 9, 265, 343, 367, 379
for project planning
, 367
Defuzzification
, 16, 285–288
centre of area (COA)
, 162, 198, 268, 286
centre of gravity (COG)
, 16
interface
, 27
largest of maxima (LOM)
, 162
mean of maxima
, 17
median of area
, 16
method
, 206, 350
middle of maxima
, 162, 286
smallest of maxima
, 162
Defuzzified trapezoidal type-2 FS approach (DTraT approach)
, 216
Degree of belonging
, 307
Degree of experts
, 234–235
Degree of membership. See Membership functions
Degree of truth. See Membership functions
Degrees of freedom (DOF)
, 210, 454
Degrees of support (DoS)
, 26
Delphi method
, 339, 344
Denavit–Hartenberg model (D–H model)
, 453, 454
DES. See Discrete event simulation (DES)
Design build project delivery (DB project delivery)
, 267
Deterministic solutions
, 314
Deterministic values
, 88–89, 155
Deterministic variable
, 156, 157, 162
D–H model. See Denavit–Hartenberg model (D–H model)
Dice operation
, 361
Differential evolution (DE)
, 43
Dimensions
, 363, 368, 369
Direct assignment of membership functions
, 20–21
Discordance index
, 191
Discrete event simulation (DES)
, 83–84, 152
Distance measure
, 27, 212, 261, 265, 269
Distribution methods
, 286–287
DMs. See Decision makers (DMs)
DOF. See Degrees of freedom (DOF)
DoS. See Degrees of support (DoS)
.NET framework
, 464
Drastic product t-norm
, 137–141
Drill-down operations
, 361
Drilling cost
, 325
Dry-hole risk
, 311
for subsea option
, 314–315
DTraT approach. See Defuzzified trapezoidal type-2 FS approach (DTraT approach)
DW. See Data warehouse (DW)
Dynamic modelling of arm gestures
, 453–454
Dynamic systems
, 152–153
Earthmoving operation
, 142
Earthmoving process-type system
, 152
EAs. See Evolutionary algorithms (EAs)
EBS financial system. See Enterprise business suite financial system (EBS financial system)
Econometric techniques
, 392
Economic criteria
, 79
Economic growth
, 5
Economic markets
, 414
Economic screening
, 313
concept selection parameters
, 321
dry-hole risk for subsea option
, 314–315
fuzzy AHP technique
, 318–323
MCS
, 314
normalised weight distribution
, 322
pairwise comparison of factors
, 322
production risk for subsea option
, 315–318
tolerance value for membership functions of fuzzy sets
, 323
Effective risk analysis
, 305
Effective risk management
, 304–305
EFNIM. See Evolutionary fuzzy neural inference model (EFNIM)
EKF. See Extended Kalman filter (EKF)
ELECTRE. See Elimination and choice expressing reality (ELECTRE)
Elimination and choice expressing reality (ELECTRE)
, 70, 186, 191
Empirical data
, 337, 339, 343
Empirical evidence
, 396
Enterprise business suite financial system (EBS financial system)
, 421
Enterprise project planning system
, 422
Enterprise resource planning system (ERP system)
, 421
Entropy for fuzzy sets
, 3
Entropy-based fuzzy AHP
, 287, 290, 293, 296
Environmental criteria
, 78–79
ERD well solution. See Extended reach drilling well solution (ERD well solution)
ERP system. See Enterprise resource planning system (ERP system)
ETL process. See Extract, transform and load process (ETL process)
Euler angle
, 452
Evolutionary algorithms (EAs)
, 42
Evolutionary fuzzy neural inference model (EFNIM)
, 52, 64–65
Expert judgement
, 21, 30, 162–163, 185–187, 231, 267, 284, 290
Expert knowledge
, 6–7, 63, 70, 80, 84, 88–90, 150, 158, 162, 364, 368
Expert systems
, 417
See also fuzzy expert system
Expertise
, 417
Extended fuzzy arithmetic
, 113, 116–119
using algebraic product t-norm
, 124–131
using bounded difference t-norm
, 131–136
using drastic product t-norm
, 137–141
implementation
, 123–124
Extended Kalman filter (EKF)
, 456–458
Extended reach drilling well solution (ERD well solution)
, 312
Extension principle
, 116
Extract, transform and load process (ETL process)
, 359
F-PROMETHEE. See FS-based preference ranking organisation method enrichment evaluation (F-PROMETHEE)
FABM. See Fuzzy agent-based modelling (FABM)
FAHP. See Fuzzy analytic hierarchy process (FAHP)
Failed risk management
, 304–305
FATLBO. See Fuzzy adaptive teaching-learning-based optimization (FATLBO)
FCM. See Fuzzy c-means (FCM); Fuzzy cognitive map (FCM)
FCM-PSO. See Fuzzy c-means-particle swarm optimisation (FCM-PSO)
FCQRA framework. See Fuzzy consensus qualitative risk analysis framework (FCQRA framework)
FDES. See Fuzzy discrete event simulation (FDES)
FDMM. See Fuzzy distance measurement method (FDMM)
Feedback
, 420
loops
, 153
processes
, 153–154
FEGA-PSO. See Fuzzy enabled GA-PSO method (FEGA-PSO)
FES. See Fuzzy expert system (FES)
FIS. See Fuzzy inference system (FIS)
FL. See Fuzzy logic (FL)
Flat fuzzy numbers
, 19
Flexible management of essential construction tasks
essential tasks in construction project management
, 364–367
example of queries resolution
, 379–382
fuzzy multi-dimensional model
, 362–364
fuzzy multi-dimensional structure
, 367–379
information
, 358–359
measure and dimensions
, 383
multi-dimensional structure
, 359–362
FLINMAP. See Fuzzy linear programming technique for multi-dimensional analysis of preference (FLINMAP)
FMCDM. See Fuzzy multi-criteria decision-making (FMCDM)
FMCS. See Fuzzy Monte Carlo simulation (FMCS)
FN-IOWA. See Fuzzy number induced ordered weighted averaging (FN-IOWA)
FNIS. See Fuzzy negative ideal solution (FNIS)
FNNs. See Fuzzy neural networks (FNNs)
FOAM. See Fuzzy optimal aggregation method (FOAM)
Footprint of uncertainty (FOU)
, 196
Forecast accuracy of developed models
, 401–402
Forward recursive equations
, 454
FOU. See Footprint of uncertainty (FOU)
FPIS. See Fuzzy positive ideal solution (FPIS)
FPRC approach. See Fuzzy preference relation consensus approach (FPRC approach)
FPWA operator. See Fuzzy prioritised weighted averaging operator (FPWA operator)
FRBS. See Fuzzy rule-based system (FRBS)
Frequency response function (FRF)
, 67–68
FRF. See Frequency response function (FRF)
FSAM. See Fuzzy similarity aggregation method (FSAM)
FSC model. See Fuzzy similarity consensus model (FSC model)
FSD. See Fuzzy system dynamics (FSD)
FSE. See Fuzzy synthetic evaluation (FSE)
FST. See Fuzzy set theory (FST)
Fuzzification
, 16–17, 394
Fuzziness accumulation
, 116
Fuzzy ABM model of construction crew motivation and performance
, 170
Fuzzy adaptive teaching-learning-based optimization (FATLBO)
, 42–43
Fuzzy agent-based modelling (FABM)
, 84, 91–92, 162–167
applications
, 170–171, 172
Fuzzy aggregation
, 112–113, 242
classification of fuzzy aggregation operators and properties
, 243–245
FN-IOWA
, 248–251
fuzzy aggregation operators for MCGDM problems
, 245
fuzzy prioritised weighted aggregation operators
, 251–257
fuzzy prioritized weighted averaging operator (FPWA operator)
, 252
fuzzy TOPSIS-based approach for prioritised aggregation
, 257–263
FWA
, 245–246
LOWA
, 246–248
Fuzzy analytic hierarchy process (FAHP)
, 70–79, 235, 270, 280, 318–323
application
in evaluating construction project complexity
, 288–295
in oil drilling
, 310–313
computation in subsea drilling option
, 324–331
investment appraisal for oil drilling methods
, 304, 323
appraisal
, 313
economic screening
, 313–323
risk analysis in projects
, 305–310
Fuzzy arithmetic
, 19
alpha-cut (α-cut) approach
, 19–20
extension principle approach
, 19–20
Fuzzy arithmetic operations
, 238–239
computational methods
, 119–141
in construction applications
, 141–145
exact mathematical methods
, 112–119
fuzzy addition
, 113, 238
fuzzy division
, 113, 120
fuzzy multiplication
, 113, 115, 120
fuzzy subtraction
, 113, 120
Fuzzy c-means (FCM)
, 23, 49, 66–68, 160–161
Fuzzy c-means-particle swarm optimisation (FCM-PSO)
, 68–69
Fuzzy calculator
, 141
Fuzzy CDF. See Fuzzy cumulative distribution function (fuzzy CDF)
Fuzzy clustering
, 66
fuzzy c-means (FCM) clustering
, 66–70
subtractive clustering
, 66–67
See also Clustering
Fuzzy cognitive map (FCM)
, 414–416
enhancing CM tools and practices with
, 417–419
modelling
, 419–423
Fuzzy composition
, 15–16
Fuzzy consensus
, 232–234, 242, 263–266, 270–271
See also Consensus
Fuzzy consensus qualitative risk analysis framework (FCQRA framework)
, 265
Fuzzy consensus-reaching process
, 233, 234, 263
building design applications
, 264
consensus measures
, 236
construction
bidding applications
, 268–269
procurement and project delivery applications
, 266–267
productivity applications
, 269–270
importance degree of experts
, 234–235
for MCGDM problems
, 236–242
mechanism adopting to guide discussion process
, 234
preference representation formats
, 235–236
risk analysis and hazard assessment applications
, 265–266
Fuzzy cumulative distribution function (fuzzy CDF)
, 84
Fuzzy database
, 384
Fuzzy datacube
, 363
Fuzzy discrete event simulation (FDES)
, 84, 88–90, 142, 151, 157–159, 167
Fuzzy distance measurement method (FDMM)
, 265
Fuzzy domain
, 19–20
Fuzzy enabled GA-PSO method (FEGA-PSO)
, 51
Fuzzy evaluation vector of RM capability
, 348–349
Fuzzy extensions of AHP
, 280
consistency of fuzzy pairwise comparisons
, 284–285
fuzzy pairwise comparisons
, 281–284
fuzzy weights and defuzzification
, 285–288
Fuzzy feedback models
, 420
Fuzzy hybrid machine learning
, 52, 92–93
fuzzy clustering techniques
, 66–70
hybridisation of fuzzy logic with ANN technique
, 52, 63–66
papers for fuzzy hybrid machine learning techniques in construction
, 53–62
techniques
, 38
Fuzzy hybrid modelling in construction
, 29–30
Fuzzy hybrid optimization
, 41, 92
fuzzy hybrid evolutionary models
, 43, 48–49
fuzzy hybrid particle swarm optimization models
, 50–52
models
, 38
papers for fuzzy hybrid optimization models in construction
, 44–47
Fuzzy hybrid particle swarm optimization models
, 50–52
Fuzzy hybrid techniques
in construction engineering and management
future research directions
, 94–96
fuzzy multi-criteria decision-making
, 70–83, 93–94
fuzzy simulation
, 83–92, 94
systematic literature review methodology
, 39–41
in construction risk analysis
, 308
Fuzzy inference system (FIS)
, 24, 453, 469
See also Fuzzy expert system (FES); Fuzzy rule-based system (FRBS); Mamdani inference; Mamdani-type fuzzy inference system; Sugeno inference; Sugeno fuzzy inference system; Sugeno-type fuzzy inference system
Fuzzy intersection
, 14
Fuzzy linear programming technique for multi-dimensional analysis of preference (FLINMAP)
, 83
Fuzzy linguistic terms
, 266
Fuzzy logic (FL)
, 38, 151, 305–308, 359, 362, 417, 453
integration and simulation techniques
, 157
fuzzy agent-based modelling
, 162–167
fuzzy DES
, 157–159
fuzzy system dynamics
, 159–162
Fuzzy machine learning techniques
, 30, 157, 159–163, 166, 173
Fuzzy membership functions
, 49, 65–66, 84, 460–462
Fuzzy Monte Carlo simulation (FMCS)
, 84, 88, 306
Fuzzy multi-criteria decision-making (FMCDM)
, 38, 70, 93–94
fuzzy AHP
, 70, 78–79
fuzzy TOPSIS
, 80–81
fuzzy VIKOR
, 82–83
methods
, 186, 267
methods and applications
, 197
in construction management
, 197–220
FS-based MCDM methods and applications
, 197–205
HFS-based MCDM methods and applications
, 210–214
IFS-based MCDM methods and applications
, 205–210
linguistic variables
, 427
relationships for significant first-time events
, 428–430
T2FS-based MCDM methods and applications
, 214–220
papers for fuzzy multi-criteria decision-making (MCDM) techniques in construction
, 71–77
See also Group decision-making process (GDM process); Multi-criteria decision-making (MCDM); Multi-criteria group decision-making problems (MCGDM problems)
Fuzzy multi-dimensional structure
, 359, 362–364, 367
company
, 374–375
construction organisations
, 367–368
construction type
, 371–372
dimensions
, 369
injury
, 378–379
location
, 375–376
project
, 370–371
promoter
, 374
task
, 372–374
time
, 369–370
worker
, 377–378
Fuzzy negative ideal solution (FNIS)
, 258, 269
Fuzzy neural networks (FNNs)
, 52
Fuzzy number induced ordered weighted averaging (FN-IOWA)
, 232, 248–251
Fuzzy numbers
, 18–20, 91, 112–113
Fuzzy optimal aggregation method (FOAM)
, 265
Fuzzy pairwise comparison
check for consistency of
, 290
matrices
, 289–290
Fuzzy partitions
, 13–14
Fuzzy positive ideal solution (FPIS)
, 258, 269
Fuzzy preference relations
, 203, 235, 249, 265
See also Preference relations
Fuzzy preference relation consensus approach (FPRC approach)
, 267
Fuzzy prioritised weighted aggregation operators
, 251–257
Fuzzy prioritised weighted averaging operator (FPWA operator)
, 252
Fuzzy RA decision-making process
, 343
Fuzzy random
approach
, 51
multi-objective decision-making model
, 50–51
variables
, 48, 88
Fuzzy ranking method
, 89, 158, 198, 199
Fuzzy relational matrix
, 347–348
Fuzzy relations
, 15–16
Fuzzy risk allocation methodology
, 345–351
Fuzzy rule-based systems (FRBS)
, 3, 24–25, 27–29, 42–43, 235
See also Fuzzy inference system (FIS); Fuzzy rule-based system (FRBS); Mamdani inference; Mamdani-type fuzzy inference system; Sugeno inference; Sugeno fuzzy inference system; Sugeno-type fuzzy inference system
Fuzzy set theory (FST)
, 5–6, 185–186, 192, 231, 232, 339
HFSs
, 194–195
IFSs
, 193–194
T2FSs
, 195–197
Fuzzy set-based analytic hierarchy process
, 198–200
Fuzzy set-based elimination and choice expressing reality
, 202
Fuzzy set-based MCDM methods and applications
, 197
analytic hierarchy process
, 198–200
elimination and choice expressing reality
, 202
F-MCDM method applications in construction management
, 203–205
F-PROMETHEE
, 203
technique for order of preference
, 200–202
weighted sum method
, 197–198
Fuzzy set-based preference ranking organisation method enrichment evaluation (F-PROMETHEE)
, 203
Fuzzy sets
, 7–17, 342, 358, 417
Fuzzy similarity aggregation method (FSAM)
, 265
Fuzzy similarity consensus model (FSC model)
, 267
Fuzzy simulation
, 38, 83–92, 94, 112–113
in construction
, 151–155, 167–171
FDES
, 88–90
FMCS
, 84, 88
FSD
, 90–91
fuzzy ABM
, 91–92
integrating fuzzy logic and
, 157–167
limitations
, 155–157
papers for fuzzy simulation techniques in construction
, 85–87
Fuzzy synthetic evaluation (FSE)
, 339, 342, 343
Fuzzy system dynamics (FSD)
, 84, 90–91, 151, 159–162
applications
, 168–170
model of quality management practice
, 168–170
Fuzzy technique for order of preference by similarity to ideal solution (Fuzzy TOPSIS)
, 70, 80–81, 232
fuzzy TOPSIS-based approach
, 263
for prioritised aggregation
, 257–263
Fuzzy TOPSIS. See Fuzzy technique for order of preference by similarity to ideal solution (Fuzzy TOPSIS)
Fuzzy upper and lower project management costs
, 324
Fuzzy variables
, 13–14, 156
Fuzzy vector
, 343, 349
Fuzzy VIKOR
, 82–83
Fuzzy weighted aggregation
, 239
Fuzzy weighted average (FWA)
, 232, 245–246
aggregation method
, 268
Fuzzy weighted mean. See Fuzzy weighted average (FWA)
FWA. See Fuzzy weighted average (FWA)
GA. See Geometric averaging (GA)
GA-PSO. See Genetic algorithms with particle swarm optimisation (GA-PSO)
Gabi software package
, 306
GA. See Genetic algorithms (GA)
Gaussian function
, 394
GDM process. See Group decision-making process (GDM process)
Generalised PA operators (GPA operators)
, 252
Generalised POWA operators (GPOWA operators)
, 252
Genetic algorithms (GA)
, 43, 157
Genetic algorithms with particle swarm optimisation (GA-PSO)
, 51
Genetic fuzzy systems
, 163, 393
Geometric averaging (GA)
, 242–243
Geometric mean method
, 285
Ghana’s water sector
, 339
GLNPSO-based FRS. See Global-local-neighbour PSO with fuzzy random simulation (GLNPSO-based FRS)
Global urban rate
, 185
Global-local-neighbour PSO with fuzzy random simulation (GLNPSO-based FRS)
, 50
Goal commitment
, 156
GPA operators. See Generalised PA operators (GPA operators)
GPOWA operators. See Generalised POWA operators (GPOWA operators)
Grade of membership. See Membership functions
Group decision-making process (GDM process)
, 231
Hazard assessment applications
, 265–266
Health and Safety Executive (HSE)
, 326
Health, safety and environment (HSE)
, 311
Hesitant fuzzy element (HFE)
, 195
Hesitant fuzzy sets (HFSs)
, 193, 194–195
HFS-based MCDM methods and applications
, 210
HF-MCDM methods and applications in construction management
, 214
HFS-based analytic hierarchy process
, 210–211
HFS-based elimination and choice expressing reality
, 213–214
HFS-based technique for order of preference
, 212–213
Hesitant fuzzy sets-based analytic hierarchy process
, 210–211
Hesitant multiplicative programming method (HMPM)
, 210
Heterogeneous group
, 235
Heuristic optimization technique
, 42
HFE. See Hesitant fuzzy element (HFE)
HFSs. See Hesitant fuzzy sets (HFSs)
Hierarchical structure
, 422
High dimensionality
, 95
High RM capability
, 342
High-performance concrete (HPC)
, 64
HMPM. See Hesitant multiplicative programming method (HMPM)
Horizontal methods
, 20–21
HPC. See High-performance concrete (HPC)
HSE. See Health and Safety Executive (HSE); Health, safety and environment (HSE)
Human motion
, 452
Hybrid computing techniques
, 392, 393
Hybrid fuzzy approach
, 453
Hybrid genetic algorithm (GA)-NNDFR technique
, 65
Hybrid methods
, 30
Hybrid neuro-fuzzy systems
, 52, 63
Hybridization
, 38
of fuzzy logic
, 52
with ANN technique
, 52, 63–66
with clustering techniques
, 23–24, 49, 52, 66–70, 93, 94–95
with machine learning techniques
, 30, 38, 52, 92, 94–95
with MCDM techniques
, 38, 70
with optimization techniques
, 42
with simulation techniques
, 83–84, 91, 94, 95
of fuzzy methods
, 92
I-IOWA. See Importance IOWA (I-IOWA)
Idempotence
, 244
IF-MCDM. See Intuitionistic fuzzy-multi-criteria decision-making (IF-MCDM)
IFSs. See Intuitionistic fuzzy sets (IFSs)
IFWA operator. See Intuitionistic fuzzy weighted average operator (IFWA operator)
Importance IOWA (I-IOWA)
, 249
Incompatibility
, 13
Index of optimism
, 287
Induced ordered weighted averaging (IOWA)
, 248–249
Inference process
, 26
Information systems (ISs)
, 358
Information technologies
, 358
Infrastructure projects
, 414
Injury dimension hierarchy
, 378–379
Input selection
, 396–397
INSHT. See Spanish National Institute for Safety and Hygiene at Work (INSHT)
Intelligent computing layer on traditional tools
, 422
Intelligent decision support systems
, 419
Intelligent modelling
, 414
Intersection of fuzzy sets
, 14
Intersection operations
, 14
Interval type-2 fuzzy sets (IT2FSs)
, 196
Intuitionistic fuzzy sets (IFSs)
, 193–194
IFS-based MCDM methods and applications
, 205
IF-MCDM method and applications in construction management
, 210
IFS-based analytic hierarchy process
, 205–206
IFS-based elimination and choice expressing reality
, 207–209
IFS-based PROMETHEE
, 209–210
IFS-based technique for order of preference
, 206–207
Intuitionistic fuzzy weighted average operator (IFWA operator)
, 268
Intuitionistic fuzzy-multi-criteria decision-making (IF-MCDM)
, 197
applications in construction management
, 221
method and applications in construction management
, 210
IOWA. See Induced ordered weighted averaging (IOWA)
ISs. See Information systems (ISs)
IT2FS. See Interval type-2 fuzzy sets (IT2FSs)
Iterative algorithms
, 234
Jacobian matrices
, 457
Kalman filter(ing)
, 453, 457
extended Kalman filter
, 456–458
motion trajectory tracking
, 453
nonlinear Kalman filtering
, 466
sensor fusion method
, 470
unscented Kalman filter
, 456, 458–460
Kernel functions
, 394, 400–401
Kinect visual camera
, 453, 456, 466
motion capture with
, 463–465
Kinship relation
, 363, 370
Knowledge representation techniques
, 421
L-R fuzzy numbers
, 19
Labour
, 170–171
Largest of maxima (LOM)
, 162
Law of Cosine
, 464
LCB. See Low-carbon building (LCB)
Least square method
, 390
Level of confidence
, 79, 287
Linear programming
, 42, 92, 211, 308
Linguistic F-Cube Factory
, 364
Linguistic hedges
, 15
Linguistic labels
, 377
Linguistic modifiers
, 15
Linguistic ordered weighted averaging (LOWA)
, 232, 246–248
Linguistic variables
, 343, 346, 347, 358
Liquefied natural gas (LNG)
, 80
Ljung-Box Q-statistics
, 398
LNG. See Liquefied natural gas (LNG)
Local and global weights of criteria and sub-criteria
, 290–293
Location dimension hierarchy
, 375–376
Logistics rules
, 421
LOM. See Largest of maxima (LOM)
Loose volume
, 143
Low price
, 7
Low RM capability
, 342
Low-carbon building (LCB)
, 186
LOWA. See Linguistic ordered weighted averaging (LOWA)
Lukasiewicz t-norm. See Bounded difference t-norm
MA model. See Moving average model (MA model)
Machine learning
, 52
MAE. See Mean absolute error (MAE)
Mamdani inference
, 26, 27
See also Fuzzy expert system (FES); Fuzzy inference system (FIS); Fuzzy rule-based system (FRBS); Mamdani-type fuzzy inference system
Mamdani-type fuzzy inference system
, 460
See also Fuzzy expert system (FES); Fuzzy inference system (FIS); Fuzzy rule-based system (FRBS); Mamdani inference
MAPE. See Mean absolute percentage error (MAPE)
Mathematical methods
, 112
consecutive fuzzy arithmetic operations
, 116
for implementation of extended fuzzy arithmetic
, 116–119
implementation of standard fuzzy arithmetic
, 113–116
MATLAB program
, 470
Max-min composition
, 16
Maxima methods
, 286–287
MCDM. See Multi-criteria decision-making (MCDM)
MCGDM problems. See Multi-criteria group decision-making problems (MCGDM problems)
MCS. See Monte Carlo simulation (MCS)
ME design. See Mechanistic-empirical design (ME design)
Mean absolute error (MAE)
, 64
Mean absolute percentage error (MAPE)
, 397, 398
Mean aggregation operator
, 269–270
Mean of maxima (MOM)
, 17
Mean square error (MSE)
, 29, 64
Mechanistic-empirical design (ME design)
, 68
Median of area (MOA)
, 16
Medium
, 12
Medium price
, 7
Membership function specification methods
, 20
based on clustering
, 23–24
horizontal method
, 20–21
pairwise comparison using analytic hierarchy process
, 21–22
statistical methods
, 22–23
vertical method
, 20–21
Membership function
, 7, 159–160, 346–347, 461–462
basic set operations on fuzzy sets
, 14–15
characteristics
, 11–13
defuzzification
, 16–17
fuzzy relations and fuzzy composition
, 15–16
fuzzy variables and fuzzy partitions
, 13–14
representing membership functions
, 9–10
See also Fuzzy membership functions
Metaheuristic optimization technique
, 42
Microsoft Kinect motion camera
, 463
Middle of maxima (MOM)
, 162
Min t-norm
, 116
MOA. See Median of area (MOA)
Model-based clustering technique
, 67
Moderate RM capability
, 342
Moderator
, 231–232
MOM. See Mean of maxima (MOM); Middle of maxima (MOM)
Monotonicity property
, 244
Monte Carlo simulation (MCS)
, 82, 151, 306, 314, 458
Motion capture
, 463–465
Motion sensing system
, 452
Motion trajectory tracking
, 453
Moving average model (MA model)
, 393
MRC. See Multimode resource-constrained (MRC)
MSE. See Mean square error (MSE)
Multi-attribute utility function
, 235
Multi-criteria analysis methods
, 313–314
Multi-criteria decision-making (MCDM)
, 38, 185–186
methods
, 70, 280
process
, 264
process and methods
, 186
AHP
, 189
ANP
, 190
in construction management
, 186–192
ELECTRE method
, 191
PROMETHEE
, 192
TOPSIS
, 190–191
WSM
, 188–189
Multi-criteria group decision-making problems (MCGDM problems)
, 231, 232, 235
fuzzy aggregation processes
, 242–263
fuzzy consensus reaching and aggregation
, 263–270
fuzzy consensus-reaching process
, 233–242
Multi-dimensional structure
, 359
DW
, 359–360
fuzzy logic
, 362
operations
, 360–362
Multi-linear regression
, 64
Multi-nonlinear regression
, 64
Multimode resource-constrained (MRC)
, 49
Multivariate models
, 391
Myo armband sensor
, 453, 466
motion capture with
, 463–465
Myo motion sensor
, 455
Negative ideal solution (NIS)
, 257–258
distances of weighted normalised collective evaluations
, 262
Net present value (NPV)
, 311
Neural-network-driven fuzzy reasoning technique (NNDFR technique)
, 65
Neuro-fuzzy hybrid models
, 308
Newton–Euler equations
, 454
Newton–Euler equation-based dynamics
, 453
NIS. See Negative ideal solution (NIS)
NMAE. See Normalised mean absolute error (NMAE)
NNDFR technique. See Neural-network-driven fuzzy reasoning technique (NNDFR technique)
Non-convex fuzzy set
, 12–13
Nonlinear Kalman filtering methods
, 466
Nonlinear Kalman filtering-based gesture tracking
, 453, 456–457
Nonlinear models
, 393
Nonlinear system dynamics
, 454–457
Normalised mean absolute error (NMAE)
, 398
Normalised weight distribution
, 318
NPV. See Net present value (NPV)
Object hierarchies
, 421
ODC. See Overall degree of consensus (ODC)
Offline FCM modelling
, 415
Oil drilling
application of fuzzy AHP techniques in
, 310
case study
, 311–312
ERD well solution
, 312
mapping project initiation stage
, 310
subsea solution
, 312, 313
On line analytical processing (OLAP)
, 358, 360
Operating expenditure (OPEX)
, 313
Optimization
, 41–43, 48, 92
Optimisation algorithms
, 234
Optimum system hierarchy analysis
, 42
Ordered weighted averaging (OWA)
, 242–243, 246–247
Organisational complexity
contours of global weights for sub-criteria within
, 293
fuzzy pairwise comparison matrix of sub-criteria within
, 292
pairwise comparisons by experts with regard to
, 291
Out-of-sample forecast
, 401
Overall degree of consensus (ODC)
, 240
OWA. See Ordered weighted averaging (OWA)
P-IOWA. See Preference IOWA (P-IOWA)
PA operators. See Prioritised averaging operators (PA operators)
Pairwise comparison
, 291, 322
using analytic hierarchy process
, 21–22
consistency of fuzzy
, 284–285
fuzzy
, 281–284
Pareto-optimal set
, 49
Particle swarm optimization (PSO)
, 42–43, 157
Particles
, 50
Partitional k-means clustering
, 66–67
Percentage error metrics
, 398
PIS. See Positive ideal solution (PIS)
Pivot operation
, 362
Planning
, 421
analysis
, 366–367, 369, 379
PM. See Project management (PM)
PM–FCM model. See Project management–fuzzy c-means model (PM–FCM model)
Positive ideal solution (PIS)
, 257–258
distances of weighted normalised collective evaluations to
, 262
Post-mortem analysis
, 416
POWA operators. See Prioritised OWA operators (POWA operators)
PPPs. See Public–private partnerships (PPPs)
Prediction modelling
, 396–397
Preference IOWA (P-IOWA)
, 249
Preference ranking organisation method for enrichment evaluation (PROMETHEE)
, 7, 185–186, 192
See also T2FS-PROMETHEE
Preference relations
, 192, 203, 209, 210, 235–236, 249, 265
linguistic preference relations
, 235–236
multiplicative preference relations
, 235
See also Fuzzy preference relations
Preference representation formats
, 235–236
Prioritised averaging operators (PA operators)
, 252
Prioritised OWA operators (POWA operators)
, 252
Probabilistic distributions
, 84, 156, 158
Probabilistic values
, 155
Probabilistic variable
, 150, 151, 156, 157, 162
Probability theory
, 6
Production risk for subsea option
, 315–318
Productivity
, 5, 9, 25, 28, 42, 65, 91, 93
Project
, 370–371
complexity
, 279, 293–295
framework for measuring
, 288
hierarchical structure
, 288–289
delivery applications
, 266–267
dimension hierarchy
, 371
performance
, 168–169, 266, 270, 279–280, 293–295
PPP
, 288
project-execution risks
, 418
pursuit process
, 415
risk analysis in
, 305–310
Project management (PM)
, 374, 423–436
Project management–fuzzy c-means model (PM–FCM model)
, 424
PROMETHEE. See Preference ranking organisation method for enrichment evaluation (PROMETHEE)
Promoter
, 374, 375
PSO. See Particle swarm optimization (PSO)
Public–private partnerships (PPPs)
, 338
case study
, 343–344
decision criteria for defining RM capability
, 341, 342
fuzzy risk allocation methodology
, 345–351
fuzzy synthetic evaluation and risk allocation
, 342–343
practitioners’ feedback on methodology
, 351
previous studies on risk allocation in
, 339–341
projects
, 288
round three of Delphi survey for risk allocation
, 344
two-round Delphi survey for risk allocation decision criteria
, 344
Pursuit review items
, 418
QFD. See Quality function deployment (QFD)
Quadratic programming models
, 234
Qualitative criteria
, 80
Qualitative knowledge
, 308
Quality function deployment (QFD)
, 204
Quality management practices
, 169
Quantitative criteria
, 80
Quantitative knowledge
, 308
R-code
, 400
for ANFIS
, 410–411
RA. See Risk allocation (RA)
Radial basis function (RBF)
, 394
kernel
, 401
Random index (RI)
, 284
RBF. See Radial basis function (RBF)
Real-world systems
, 155
Reciprocal matrix
, 22
Relative closeness index
, 257–258
RI. See Random index (RI)
Risk
, 305
Risk allocation (RA)
, 338
decision
, 350–351
fuzzy synthetic evaluation and
, 342–343
previous studies in PPPs
, 339–341
round three of Delphi survey
, 344
two-round Delphi survey
, 344
Risk analysis
, 305
in projects
, 305
FL
, 306–308
fuzzy AHP in
, 308–310
fuzzy hybrid techniques
, 308
MCS
, 306
Risk management (RM)
, 339
decision criteria for defining RM capability
, 341, 342
fuzzy evaluation vector of RM capability
, 348–349
processes
, 305
responsibility
, 340
RM. See Risk management (RM)
RMSE. See Root mean square error (RMSE)
Robotic manipulator modelling of arm gestures
, 453
dynamic modelling of arm gestures
, 453–454
EKF
, 457–458
nonlinear system dynamics
, 454–457
UKF
, 458–460
Robust visual sensing technology
, 452
Roll-up operation
, 360–361
Root mean square error (RMSE)
, 64, 466
Round three of Delphi survey for risk allocation
, 344
s-norm
, 14
algebraic sum
, 15, 26
bounded sum
, 15
drastic union
, 15
max s-norm. See Standard union s-norm
standard union
, 15
See also Triangular-conorm (t-conorm)
SAA. See Scalable algorithm of aggregation (SAA)
Safety analysis
, 365–366
Safety management
, 374, 376
SAM. See Similarity aggregation method (SAM)
Scalable algorithm of aggregation (SAA)
, 242–243
SD. See System dynamics (SD)
Season
, 369
Selection process
, 233–234
Sensitivity analysis
, 405
Sensor fusion methods
, 453, 456–457
Sensor-based approaches
, 366
Serial correlation
, 398
Service hierarchy
, 377
Shannon entropy concept
, 287
Similarity aggregation method (SAM)
, 232
Simple cause-and-effect analysis
, 424
CM–FCM relationships for significant first-time events
, 428–430
concepts in CM and PM
, 425–426
linguistic variables in CM–FCM
, 427
multiple scenarios
, 431–432
Simulation
limitations
, 155–157
techniques
, 150, 151, 157–167
in construction
, 151–155
See also Fuzzy simulation
Simulink program
, 470
Single subsea well
, 312, 313
Slice operation
, 361
Smallest of maxima (SOM)
, 162
Social criteria
, 78–79
Soft computing techniques
, 414–415, 419
SOM. See Smallest of maxima (SOM)
Spanish National Institute for Safety and Hygiene at Work (INSHT)
, 379
SPEA. See Strength Pareto evolutionary algorithm (SPEA)
Squared error metrics
, 398
SRLP. See Success rate of learner phase (SRLP)
SRTP. See Success rate of teacher phase (SRTP)
Stakeholders
, 390
Standard fuzzy arithmetic
, 113
implementation
, 113–116, 121–123
Standard intersection t-norm
, 14
Standardised trapezoidal fuzzy numbers (STFNs)
, 265
Standards for technical condition evaluation of highway bridges (STCEHB)
, 69
Statistical methods
, 22–23
Statistical-based aggregation operators and algorithms
, 242–243
STCEHB. See Standards for technical condition evaluation of highway bridges (STCEHB)
STFNs. See Standardised trapezoidal fuzzy numbers (STFNs)
Stocks
, 153
Strength Pareto evolutionary algorithm (SPEA)
, 48–49
Subjective reasoning
, 5
Subjective uncertainty
, 30, 42, 43, 51, 52, 63
Subsea solution
, 312, 313
Subtractive clustering
, 67
Success rate of learner phase (SRLP)
, 42–43
Success rate of teacher phase (SRTP)
, 42–43
Sugeno fuzzy inference system
, 394
See also Fuzzy expert system (FES); Fuzzy inference system (FIS); Fuzzy rule-based system (FRBS); Sugeno inference; Sugeno-type fuzzy inference system
Sugeno inference
, 26, 27
See also Fuzzy expert system (FES); Fuzzy inference system (FIS); Fuzzy rule-based system (FRBS); Sugeno fuzzy inference system; Sugeno-type fuzzy inference system
Sugeno-type fuzzy inference system
, 460–463, 470
See also Fuzzy expert system (FES); Fuzzy inference system (FIS); Fuzzy rule-based system (FRBS); Sugeno inference; Sugeno fuzzy inference system
Supplier selection
, 78
Support vector machine model (SVM model)
, 391, 394, 400–401
Symbolic representation
, 423
System dynamics (SD)
, 83–84, 152–153
Systematic literature review methodology
, 39–41
t-norm
algebraic product
, 124–131
Archimedean
, 117–118
bounded difference
, 131–136
drastic product
, 137–141
Lukasiewicz t-norm. See Bounded difference t-norm
min t-norm. See Standard intersection t-norm
operator
, 117
standard intersection
, 116
T2FS-based MCDM methods and applications
, 214–220
analytic hierarchy process
, 215–216
PROMETHEE
, 219
T2FS-MCDM method applications
, 219–220
technique for order of preference
, 216–218
weighted product method
, 215
weighted sum method
, 214–215
T2FS-PROMETHEE
, 179, 220
T2FS-TOPSIS
, 179, 218
trapezoidal
, 216–217
T2FSs. See Type-2 fuzzy sets (T2FSs)
Takagi-Sugeno-Kang-type fuzzy inference system. See Sugeno-type fuzzy inference system
TBM. See Tunnel boring machine (TBM)
Teaching-learning-based optimization (TLBO)
, 42–43
Team agent
, 166
Technique for order of preference by similarity to ideal solution (TOPSIS)
, 70, 186, 190–191
See also T2FS-TOPSIS
Tender price index
, 390, 402
Tender price index forecasting
, 390, 392, 396
univariate modelling techniques application in
, 391–393
TFLPWA operator. See Trapezoidal fuzzy linguistic prioritised weighted average operator (TFLPWA operator)
TFN. See Triangular fuzzy numbers (TFNs)
Theil’s inequality coefficient
, 397
THFSs. See Typical hesitant FSs (THFSs)
Time dimension
, 369–374
Time paradox
, 89
Time series
forecasting
, 392
modelling techniques
, 390, 398
Time-cost optimisation model
, 308
TLBO. See Teaching-learning-based optimization (TLBO)
TnFSs. See Type-n FSs (TnFSs)
Tolerance
, 321
factor
, 310, 324
TOPSIS. See Technique for order of preference by similarity to ideal solution (TOPSIS)
Traditional human-centred decision-making process
, 367
Trapezoidal fuzzy linguistic prioritised weighted average operator (TFLPWA operator)
, 252
Trapezoidal fuzzy number
, 19
Trapezoidal membership function
, 10
Triangular fuzzy membership function
, 264
Triangular fuzzy numbers (TFNs)
, 81, 120, 137, 193, 283
Triangular-conorm (t-conorm). See s-norm
Triangular-norm operators
, 14
Trym field
, 311
Tunnel boring machine (TBM)
, 89
Two-round Delphi survey for risk allocation decision criteria
, 344
Two-stage classification approach
, 452
Type-2 fuzzy sets (T2FSs)
, 192–193, 195–197
See also T2FS-based MCDM methods and applications
Type-n FSs (TnFSs)
, 192–193
Typical hesitant FSs (THFSs)
, 195
UKF. See Unscented Kalman filter (UKF)
UMF. See Upper membership function (UMF)
UML. See Unified modelling language (UML)
Unanimity. See Idempotence
Uncertainty
ambiguity
, 5, 29–30, 82, 206, 214, 231, 305
non-probabilistic
, 30, 155
probabilistic
, 84, 88, 94, 156–157
random
, 48, 51, 95, 155
subjectivity
, 5, 29–30, 82
vagueness
, 5, 29–30, 82, 206, 305
Unified modelling language (UML)
, 164
Union of fuzzy sets
, 18
Union operations
, 14
Univariate models
, 391, 393
application
, 398–401
modelling techniques
, 393
ANFIS
, 394–395
application in tender price index forecasting
, 391–393
Box–Jenkins model
, 393
SVM model
, 394
Unscented Kalman filter (UKF)
, 456, 458–460
Upper membership function (UMF)
, 196
Urbanisation process
, 185
Vague funny sets (VFSs)
, 193
Vector diagram for angle calculation
, 465
Vector3D class
, 464
Vertical methods
, 20–21
VFSs. See Vague funny sets (VFSs)
Virtual designs
, 366
VIsekriterijumska optimizacija i KOmpromisno Resenje (VIKOR)
, 70
fuzzy
, 82–83
WAA. See Weighted arithmetic averaging (WAA)
WBS. See Work breakdown structure (WBS)
Weigh-in-motion (WIM)
, 68
Weighted arithmetic averaging (WAA)
, 242–243
Weighted geometric averaging (WGA)
, 242–243
Weighted mean model
, 349
Weighted normalised fuzzy decision matrix (WNFDM)
, 269
Weighted sum method (WSM)
, 188–189
Weighting function set of decision criteria
, 346
WGA. See Weighted geometric averaging (WGA)
WIM. See Weigh-in-motion (WIM)
WNFDM. See Weighted normalised fuzzy decision matrix (WNFDM)
Work accidents
, 379
datacube
, 368
Work breakdown structure (WBS)
, 372–374
Work development
, 368, 379, 380
Worker dimension hierarchy
, 377–378
Worker’s commitment
, 150
Workplace safety
, 365
WSM. See Weighted sum method (WSM)
Zero-order Sugeno fuzzy model
, 463
- Prelims
- Part 1 Introduction to Fuzzy Logic and Overview of Fuzzy Hybrid Techniques in Construction Engineering and Management
- Introduction to Fuzzy Logic in Construction Engineering and Management
- Overview of Fuzzy Hybrid Techniques in Construction Engineering and Management
- Part 2 Theoretical Approaches of Fuzzy Hybrid Computing in Construction Engineering and Management
- Fuzzy Arithmetic Operations: Theory and Applications in Construction Engineering and Management
- Fuzzy Simulation Techniques in Construction Engineering and Management
- Fuzzy Set Theory and Extensions for Multi-criteria Decision-making in Construction Management
- Fuzzy Consensus and Fuzzy Aggregation Processes for Multi-criteria Group Decision-making Problems in Construction Engineering and Management
- Fuzzy AHP with Applications in Evaluating Construction Project Complexity
- Part 3 Applications of Fuzzy Hybrid Computing in Construction Engineering and Management
- The Fuzzy Analytic Hierarchy Process in the Investment Appraisal of Drilling Methods
- Modelling Risk Allocation Decisions in Public–Private Partnership Contracts using the Fuzzy Set Approach
- Flexible Management of Essential Construction Tasks Using Fuzzy OLAP Cubes
- Using an Adaptive Neuro-fuzzy Inference System for Tender Price Index Forecasting: A Univariate Approach
- Modelling Construction Management Problems with Fuzzy Cognitive Maps
- Crane Guidance Gesture Recognition using Fuzzy Logic and Kalman Filtering
- Index