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

Authors:
Weize Wang;Zhoujing Wang
Affiliations:
-;-
Venue:
FSKD '08 Proceedings of the 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 03
Year:
2008

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Cited 4

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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.