Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/32306
Title: A new rule-based sir approach to supplier selection under intuitionistic fuzzy environments
Authors: Chai, J
Liu, JNK
Xu, Z
Keywords: Group MCDM
Intuitionistic fuzzy set
Supplier selection
The SIR method
Issue Date: 2012
Publisher: World Scientific Publ Co Pte Ltd
Source: International journal of uncertainty, fuzziness and knowlege-based systems, 2012, v. 20, no. 3, p. 451-471 How to cite?
Journal: International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems 
Abstract: Multiple Criteria Decision Making (MCDM) aims at giving people a knowledge recommendation concerning a set of objects evaluated from multiple preference-ordered attributes. The Superiority and Inferiority Ranking (SIR) is a generation of the well-known outranking approach-PROMETHEE, which is an efficient approach for MCDM. As the traditional MCDM approach, however, it faces the obstacle in handling uncertainties of real world. We are concerned about the issue on how to extend the traditional MCDM approach for applications in uncertain environments. This paper proposes a new Intuitionistic Fuzzy SIR (IF-SIR for short) approach and focuses on its application to supplier selection which is the important activity in supply chain management. Toward practical applications, two factors are considered here: (1) multiple decision makers and (2) decision information in the form of linguistic terms. We firstly identify these terms via Intuitionistic Fuzzy Set (IFS) which is proven to be a powerful mathematical tool in modeling uncertain information. Then, we provide the IF-SIR approach for group aggregation and decision analysis. Hereinto, a rule-based method is developed for ranking and selection of suppliers. Finally, an illustrative example is used for illustration of the proposed approach.
URI: http://hdl.handle.net/10397/32306
ISSN: 0218-4885
DOI: 10.1142/S0218488512500237
Appears in Collections:Journal/Magazine Article

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

SCOPUSTM   
Citations

29
Last Week
0
Last month
0
Citations as of Aug 19, 2017

WEB OF SCIENCETM
Citations

22
Last Week
0
Last month
0
Citations as of Aug 13, 2017

Page view(s)

40
Last Week
3
Last month
Checked on Aug 14, 2017

Google ScholarTM

Check

Altmetric



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