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Article
Publication date: 17 September 2024

Bingzi Jin, Xiaojie Xu and Yun Zhang

Predicting commodity futures trading volumes represents an important matter to policymakers and a wide spectrum of market participants. The purpose of this study is to concentrate…

81

Abstract

Purpose

Predicting commodity futures trading volumes represents an important matter to policymakers and a wide spectrum of market participants. The purpose of this study is to concentrate on the energy sector and explore the trading volume prediction issue for the thermal coal futures traded in Zhengzhou Commodity Exchange in China with daily data spanning January 2016–December 2020.

Design/methodology/approach

The nonlinear autoregressive neural network is adopted for this purpose and prediction performance is examined based upon a variety of settings over algorithms for model estimations, numbers of hidden neurons and delays and ratios for splitting the trading volume series into training, validation and testing phases.

Findings

A relatively simple model setting is arrived at that leads to predictions of good accuracy and stabilities and maintains small prediction errors up to the 99.273th quantile of the observed trading volume.

Originality/value

The results could, on one hand, serve as standalone technical trading volume predictions. They could, on the other hand, be combined with different (fundamental) prediction results for forming perspectives of trading trends and carrying out policy analysis.

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Book part
Publication date: 22 August 2015

Shijing Xu, Shijian Chen and Ju Huang

This chapter focuses on pedagogies of working with diversity centers on West-East reciprocal learning through a Reciprocal Learning Program in preservice teacher education between…

Abstract

This chapter focuses on pedagogies of working with diversity centers on West-East reciprocal learning through a Reciprocal Learning Program in preservice teacher education between a Canadian university and a Chinese university. By presenting our initial analysis of fieldwork with our Teacher Education Reciprocal Learning Program participants through excerpts from newsletters, surveys, and interviews, we explore how participants from both China and Canada made sense of their learning from the other cultural and educational system through the Reciprocal Learning Program within broad educational, social, and cultural contexts. We argue that both global and multicultural dimensions are cultivated in reciprocal learning that infused the lived experiences of both Canadian and Chinese preservice teacher candidates. We discuss the pedagogic implications for working with diversity and believe that reciprocal learning can take place while working with people from different cultures with an attitude of mutual respect and appreciation and an appetite for learning in our increasingly interconnected world.

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International Teacher Education: Promising Pedagogies (Part B)
Type: Book
ISBN: 978-1-78441-669-0

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Book part
Publication date: 5 October 2018

Long Chen and Wei Pan

With numerous and ambiguous sets of information and often conflicting requirements, construction management is a complex process involving much uncertainty. Decision makers may be…

Abstract

With numerous and ambiguous sets of information and often conflicting requirements, construction management is a complex process involving much uncertainty. Decision makers may be challenged with satisfying multiple criteria using vague information. Fuzzy multi-criteria decision-making (FMCDM) provides an innovative approach for addressing complex problems featuring diverse decision makers’ interests, conflicting objectives and numerous but uncertain bits of information. FMCDM has therefore been widely applied in construction management. With the increase in information complexity, extensions of fuzzy set (FS) theory have been generated and adopted to improve its capacity to address this complexity. Examples include hesitant FSs (HFSs), intuitionistic FSs (IFSs) and type-2 FSs (T2FSs). This chapter introduces commonly used FMCDM methods, examines their applications in construction management and discusses trends in future research and application. The chapter first introduces the MCDM process as well as FS theory and its three main extensions, namely, HFSs, IFSs and T2FSs. The chapter then explores the linkage between FS theory and its extensions and MCDM approaches. In total, 17 FMCDM methods are reviewed and two FMCDM methods (i.e. T2FS-TOPSIS and T2FS-PROMETHEE) are further improved based on the literature. These 19 FMCDM methods with their corresponding applications in construction management are discussed in a systematic manner. This review and development of FS theory and its extensions should help both researchers and practitioners better understand and handle information uncertainty in complex decision problems.

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Fuzzy Hybrid Computing in Construction Engineering and Management
Type: Book
ISBN: 978-1-78743-868-2

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Book part
Publication date: 5 October 2018

Nima Gerami Seresht, Rodolfo Lourenzutti, Ahmad Salah and Aminah Robinson Fayek

Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and…

Abstract

Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.

Details

Fuzzy Hybrid Computing in Construction Engineering and Management
Type: Book
ISBN: 978-1-78743-868-2

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Abstract

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Freight Transport Modelling
Type: Book
ISBN: 978-1-78190-286-8

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Article
Publication date: 6 June 2019

Yanlan Mei, Ping Gui, Xianfeng Luo, Benbu Liang, Liuliu Fu and Xianrong Zheng

The purpose of this paper is to take advantage of Internet of Things (IoT) for intelligent route programming of crowd emergency evacuation in metro station. It is a novel approach…

474

Abstract

Purpose

The purpose of this paper is to take advantage of Internet of Things (IoT) for intelligent route programming of crowd emergency evacuation in metro station. It is a novel approach to ensure the crowd safety and reduce the casualties in the emergency context. An evacuation route programming model is constructed to select a suitable evacuation route and support the emergency decision maker of metro station.

Design/methodology/approach

The IoT technology is employed to collect and screen information, and to construct an expert decision model to support the metro station manager to make decision. As a feasible way to solve the multiple criteria decision-making problem, an improved multi-attributive border approximation area comparison (MABAC) approach is introduced.

Findings

The case study indicates that the model provides valuable suggestions for evacuation route programming and offers practical support for the design of an evacuation route guidance system. Moreover, IoT plays an important role in the process of intelligent route programming of crowd emergency evacuation in metro station. A library has similar structure and crowd characteristics of a metro station, thus the intelligent route programming approach can be applied to the library crowd evacuation.

Originality/value

The highlights of this paper are listed as followings: the accuracy and accessibility of the metro station’s real-time information are improved by integrating IoT technology with the intelligent route programming of crowd emergency evacuation. An improved MABAC approach is introduced to the expert support model. It promotes the applicability and reliability of decision making for emergency evacuation route selection in metro station. It is a novel way to combine the decision-making methods with practice.

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Book part
Publication date: 7 December 2016

Abstract

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The World Meets Asian Tourists
Type: Book
ISBN: 978-1-78560-219-1

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Article
Publication date: 18 August 2023

Qinggang Shi, Peng Li and Zhiwei Xu

The purpose of this paper is to propose a consensus method for multi-attribute group decision-making (MAGDM) problems based on preference-approval structure and regret theory…

135

Abstract

Purpose

The purpose of this paper is to propose a consensus method for multi-attribute group decision-making (MAGDM) problems based on preference-approval structure and regret theory, which can improve the efficiency of decision-making and promote the consensus level among individuals.

Design/methodology/approach

First, a new method to obtain the reference points based on regret theory and expert weighting method is proposed. Second, a consensus reaching method based on preference-approval structure is proposed. Then, an adjustment mechanism to further improve the consensus level between individuals is designed. Finally, an example of the assessment of elderly care institutions is used to illustrate the feasibility and effectiveness of the proposed method.

Findings

The feasibility and validity of the proposed method are verified by comparing with the advanced two-stage minimum adjustment method. The compared results show that the proposed method is more consistent with the actual situation.

Research limitations/implications

This paper presents a consensus reaching method for MAGDM based on preference-approval structure, which considers the avoidance behaviors of individuals and reference points. Decision makers (DMs) can use this approach to rank and categorize alternatives while further increasing the level of consensus among them. This can further help determine the optimal alternative more efficiently.

Originality/value

A new MAGDM problem based on the combination of regret theory and individual reference points is proposed. Besides, a new method of obtaining experts' weights and a consensus reaching method for MAGDM based on preference-approval structure are designed.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 17 no. 1
Type: Research Article
ISSN: 1756-378X

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Book part
Publication date: 23 June 2020

Kechinyere C. Iheduru-Anderson and Monika M. Wahi

This chapter proposes a global agenda to eliminate racism in nursing by targeting reform at nursing education administration internationally. First, the history of racism in…

Abstract

This chapter proposes a global agenda to eliminate racism in nursing by targeting reform at nursing education administration internationally. First, the history of racism in nursing is reviewed, along with two models – the diversity model and the cultural competence model – that were applied unsuccessfully to counteract racism in nursing. Second, a description of how racism is entrenched in nursing leadership globally is presented. Third, the recalcitrant structures that serve to maintain institutionalized racism (IR) in the international nursing education system are carefully examined. Specifically, the components and constructs involved in IR in nursing education are delineated, and the way in which these negatively impact both ethnic minority (EM) students and faculty are explained. Based on this, a global agenda to eliminate racism in nursing education internationally is proposed. Eliminating racism in higher education in nursing is a mandatory social responsibility if global healthcare is ever to be equitable. Five actionable recommendations are made to eliminate racism in higher education are summarized as follows: (1) components of nursing programs which are designed to eliminate racism in nursing education should be governed at the country level, (2) to design and implement a system of surveillance of the global nursing community to enable standardized measurement to ensure nursing education programs in all countries are meeting anti-racism benchmark targets, (3) nursing education programs should be established worldwide to provide individual pipeline and mentorship programs to ensure the career success of EM nursing students and faculty, (4) nursing education programs should be conducted to reduce barriers to EM participation in these individual support programs, and (5) nursing education programs are required to teach their nursing faculty skills in developing anti-racist curricula that seeks to eliminate implicit bias.

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Civil Society and Social Responsibility in Higher Education: International Perspectives on Curriculum and Teaching Development
Type: Book
ISBN: 978-1-83909-464-4

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Article
Publication date: 15 February 2022

Xiao Yun Lu, Hecheng Li and Qiong Hao

Consistency and consensus are two important research issues in group decision-making (GDM). Considering some drawbacks associated with these two issues in existing GDM methods…

180

Abstract

Purpose

Consistency and consensus are two important research issues in group decision-making (GDM). Considering some drawbacks associated with these two issues in existing GDM methods with intuitionistic multiplicative preference relations (IMPRs), a new GDM method with complete IMPRs (CIMPRs) and incomplete IMPRs (ICIMPRs) is proposed in this paper.

Design/methodology/approach

A mathematically programming model is constructed to judge the consistency of CIMPRs. For the unacceptably consistent CIMPRs, a consistency-driven optimization model is constructed to improve the consistency level. Meanwhile, a consistency-driven optimization model is constructed to supplement the missing values and improve the consistency level of the ICIMPRs. As to GDM with CIMPRs, first, a mathematically programming model is built to obtain the experts' weights, after that a consensus-driven optimization model is constructed to improve the consensus level of CIMPRs, and finally, the group priority weights of alternatives are obtained by an intuitionistic fuzzy programming model.

Findings

The case analysis of the international exchange doctoral student selection problem shows the effectiveness and applicability of this GDM method with CIMPRs and ICIMPRs.

Originality/value

First, a novel consistency definition of CIMPRs is presented. Then, a consistency-driven optimization model is constructed, which supplements the missing values and improves the consistency level of ICIMPRs simultaneously. Therefore, this model greatly improves the efficiency of consistency improving. Experts' weights determination method considering the subjective and objective information is proposed. The priority weights of alternatives are determined by an intuitionistic fuzzy (IF) programming model considering the risk preference of experts, so the method determining priority weights is more flexible and agile. Based on the above theoretical basis, a new GDM method with CIMPRs and ICIMPRs is proposed in this paper.

Details

Kybernetes, vol. 52 no. 8
Type: Research Article
ISSN: 0368-492X

Keywords

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