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

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2 Author(s)
Weize Wang ; Dept. of Autom., Xiamen Univ., Xiamen ; Zhoujing Wang

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.

Published in:

Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on  (Volume:3 )

Date of Conference:

18-20 Oct. 2008