Article (Scientific journals)
A state-of the-art survey & testbed of Fuzzy AHP (FAHP) applications
Kubler, Sylvain; Robert, Jérémy; William, Derigent et al.
2016In Expert Systems with Applications, 65, p. 398--422
Peer reviewed
 

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Keywords :
Fuzzy analytic hierarchy process; Fuzzy AHP; Multiple criteria decision-making; Decision analysis; Decision support systems; TOPSIS
Abstract :
[en] As a practical popular methodology for dealing with fuzziness and uncertainty in Multiple Criteria Decision-Making (MCDM), Fuzzy AHP (FAHP) has been applied to a wide range of applications. As of the time of writing there is no state of the art survey of FAHP, we carry out a literature review of 190 application papers (i.e., applied research papers), published between 2004 and 2016, by classifying them on the basis of the area of application, the identified theme, the year of publication, and so forth. The identified themes and application areas have been chosen based upon the latest state-of-the-art survey of AHP conducted by Vaidya and Kumar (2006). To help readers extract quick and meaningful information, the reviewed papers are summarized in various tabular formats and charts. Unlike previous literature surveys, results and findings are made available through an online (and free) testbed, which can serve as a ready reference for those who wish to apply, modify or extend FAHP in various applications areas. This online testbed makes also available one or more fuzzy pairwise comparison matrices (FPCMs) from all the reviewed papers (255 matrices in total). In terms of results and findings, this survey shows that: (i) FAHP is used primarily in the Manufacturing, Industry and Government sectors; (ii) Asia is the torchbearer in this field, where FAHP is mostly applied in the theme areas of Selection and Evaluation; (iii) a significant amount of research papers (43% of the reviewed literature) combine FAHP with other tools, particularly with TOPSIS, QFD and ANP (AHP’s variant); (iv) Chang’s extent analysis method, which is used for FPCMs’ weight derivation in FAHP, is still the most popular method in spite of a number of criticisms in recent years (considered in 57% of the reviewed literature).
Disciplines :
Computer science
Author, co-author :
Kubler, Sylvain ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Robert, Jérémy ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
William, Derigent;  Université de Lorraine > Centre de Recherche en Automatique de Nancy > Dr.
Alexandre, Voisin;  Université de Lorraine > Centre de Recherche en Automatique de Nancy > Dr.
Le Traon, Yves ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
yes
Language :
English
Title :
A state-of the-art survey & testbed of Fuzzy AHP (FAHP) applications
Publication date :
October 2016
Journal title :
Expert Systems with Applications
ISSN :
0957-4174
Publisher :
Pergamon Press - An Imprint of Elsevier Science
Volume :
65
Pages :
398--422
Peer reviewed :
Peer reviewed
European Projects :
H2020 - 688203 - bIoTope - Building an IoT OPen innovation Ecosystem for connected smart objects
FnR Project :
FNR9095399 - Internet Of Things For Context-aware Building Energy & Health Management, 2014 (01/07/2015-30/06/2017) - Sylvain Kubler
Funders :
CE - Commission Européenne [BE]
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