DocumentCode
1770066
Title
A hybrid approach combining fuzzy consensus-based possibility measure and TOPSIS: Application to the plant selection problem
Author
Igoulalene, Idris ; Benyoucef, Lyes
Author_Institution
LSIS, Aix-Marseille Univ., Marseille, France
fYear
2014
fDate
1-3 May 2014
Firstpage
286
Lastpage
291
Abstract
The current complexity of supply chains (SC) activities requires the need for coordination between supply chains partners to maximize the efficiency. This paper addresses the development of a new hybrid approach for the selection problem. The problem is formulated as a multi-expert multi-criteria (MEMC) decision making problem and solved by combining consensus-based possibility measure with TOPSIS method in a fuzzy environment. To demonstrate the applicability of the proposed approach, a simple example of plant selection problem is presented and the numerical results analyzed.
Keywords
TOPSIS; fuzzy set theory; supply chain management; MEMC; TOPSIS; fuzzy consensus-based possibility measure; multiexpert multicriteria decision making problem; plant selection problem; supply chain complexity; supply chain partners coordination; Decision making; Equations; Joints; Radio frequency; Supply chain management; Supply chains; Supply chain coordination; consensus; fuzzy TOPSIS; multi-criteria; multi-expert; possibility measure; selection problem;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Logistics and Transport (ICALT), 2014 International Conference on
Conference_Location
Hammamet
Type
conf
DOI
10.1109/ICAdLT.2014.6866326
Filename
6866326
Link To Document