An Approach to Multi-attribute Interval-Valued Intuitionistic Fuzzy Decision Making with Incomplete Weight Information

Author

Wang, Weize ; Wang, Zhoujing

Author_Institution

Dept. of Autom., Xiamen Univ., Xiamen

Volume

3

fYear

2008

fDate

18-20 Oct. 2008

Firstpage

346

Lastpage

350

Abstract

The interval-valued intuitionistic fuzzy multi-attribute decision making problems are investigated, in which the decision information is expressed as interval-valued intuitionistic fuzzy decision matrices, and the information about attribute weights is incomplete. The score matrix of the interval-valued intuitionistic fuzzy decision matrix is constructed. Based on the score matrix and the given attribute weight information, several optimization models are established to generate optimal weights for attributes. Furthermore, a procedure is developed to identify the best alternative(s). Finally, a global supplier selection example is used to illustrate the developed procedure.

Keywords

fuzzy set theory; matrix algebra; supply chain management; decision information; global supplier selection; interval-valued intuitionistic fuzzy decision matrices; multi-attribute interval-valued intuitionistic fuzzy decision making; Automation; Decision making; Frequency selective surfaces; Fuzzy sets; Fuzzy systems; Variable structure systems; Interval-valued intuitionistic fuzzy numbers; Interval-valued intuitionistic fuzzy weighted arithmetic averaging (IIWAA) operator; Multi-attribute decision making; Optimization model;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on

Conference_Location

Shandong

Print_ISBN

978-0-7695-3305-6

Type

conf

DOI

10.1109/FSKD.2008.197

Filename

4666267