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Article
Publication date: 9 January 2017

José M. Merigó, Salvador Linares-Mustarós and Joan Carles Ferrer-Comalat

626

Abstract

Details

Kybernetes, vol. 46 no. 1
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 9 January 2017

Dolors Corominas Coll, Joan Carles Ferrer-Comalat, Salvador Linares-Mustarós and Xavier Bertran

The purpose of this study is to present a detailed quantitative and qualitative fuzzy approach to the Allee effect that permits dealing with uncertainty.

110

Abstract

Purpose

The purpose of this study is to present a detailed quantitative and qualitative fuzzy approach to the Allee effect that permits dealing with uncertainty.

Design/methodology/approach

The Allee effect is related to those aspects of population dynamics that are connected with a decrease in individual fitness when the population size diminishes to very low levels. It allows to model the evolution of certain sectors or clusters which, due to their low population density, may have problems of survival. In uncertain environments, an estimate of the effect’s parameters can be performed in the form of fuzzy numbers, which means that this study is using the methodology of fuzzy arithmetic.

Findings

This study reveals that fuzziness changes the behavior of the set of solutions when the strong Allee effect is studied under uncertainty from the point of view of standard difference or generalization of the Hukuhara difference.

Originality/value

The value and originality of the work consists in offering a set of tools for studying the evolution of a group of firms subject to an Allee effect in uncertain environments.

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Article
Publication date: 24 May 2013

Salvador Linares‐Mustarós, Joan Carles Ferrer‐Comalat and Elvira Cassú‐Serra

The aim of this study is to show in detail the theoretical and practical foundations of a new feasibility technique for cash flow forecasting (CFF) based on triangular fuzzy…

1343

Abstract

Purpose

The aim of this study is to show in detail the theoretical and practical foundations of a new feasibility technique for cash flow forecasting (CFF) based on triangular fuzzy numbers.

Design/methodology/approach

One of the most complicated problems business people face is determining if they have enough cash to be able to meet all future payments of a specific period. The uncertainty of forecasting the data to solve the problem suggests that a model based on fuzzy logic tools may provide a good way to obtain new techniques to ensure the feasibility of cash flow management.

Findings

This study shows how a specific company can obtain a quantitative idea of the risk of not being able to meet payments in a specific period. This idea can be put into practice with the usual computer tools.

Research limitations/implications

This work presents a technique to predict the feasibility of CFF using triangular fuzzy numbers. There are other fuzzy numbers with which we can model the study problem and that offer certain advantages over to triangular ones.

Practical implications

A qualitative procedure is currently used to calculate the feasibility of a CFF. This work represents a step forward since it shows how to model quantitative feasibility.

Originality/value

The originality and value of this contribution consists of providing a complete model for a feasibility technique of CFF, as well as several proposals to mechanize the calculations and make the results more intuitive by means of spreadsheet graphs.

Details

Kybernetes, vol. 42 no. 5
Type: Research Article
ISSN: 0368-492X

Keywords

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Article
Publication date: 24 May 2013

Anna M. Gil-Lafuente and Jose M. Merigo

308

Abstract

Details

Kybernetes, vol. 42 no. 5
Type: Research Article
ISSN: 0368-492X

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