Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/20213
Title: A fuzzy extended analytic network process-based approach for global supplier selection
Authors: Zhang, X
Deng, Y
Chan, FTS 
Mahadevan, S
Keywords: Analytic network process
Fuzzy set theory
Supplier selection
Issue Date: 2015
Publisher: Kluwer Academic Publishers
Source: Applied intelligence, 2015 How to cite?
Journal: Applied Intelligence 
Abstract: With increasing globalization, supplier selection has become more and more important than before. In the process of determining the best supplier, the expert judgements might be vague or incomplete due to the inherent uncertainty and imprecision of their perception. In addition to that, the sub-criteria are relevant to each other in the selection of right supplier. In this paper, a novel methodology based on fuzzy set theory and analytic network process (FEANP) is developed to address both the uncertain information involved and the interrelationships among the attributes. This paper concludes with a case study describing the implementation of this model for a real-world supplier selection scenario. We demonstrate the efficiency of the proposed model by comparing with existing method.
URI: http://hdl.handle.net/10397/20213
ISSN: 0924-669X
DOI: 10.1007/s10489-015-0664-z
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

14
Last Week
0
Last month
1
Citations as of Aug 13, 2017

WEB OF SCIENCETM
Citations

13
Last Week
0
Last month
1
Citations as of Aug 16, 2017

Page view(s)

36
Last Week
2
Last month
Checked on Aug 13, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.