Approaches to multiple attribute group decision making based on intuitionistic fuzzy power aggregation operators

Authors:
Zeshui Xu
Affiliations:
School of Economics and Management, Southeast University, Nanjing, Jiangsu 210096, China and Institute of Sciences, PLA University of Science and Technology, Nanjing, Jiangsu 210007, China
Venue:
Knowledge-Based Systems
Year:
2011

Citing 26
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Abstract

Intuitionistic fuzzy numbers (IFNs) are very suitable to be used for depicting uncertain or fuzzy information. Motivated by the idea of power aggregation [R.R. Yager, The power average operator, IEEE Transactions on Systems, Man, and Cybernetics-Part A 31 (2001) 724-731], in this paper, we develop a series of operators for aggregating IFNs, establish various properties of these power aggregation operators, and then apply them to develop some approaches to multiple attribute group decision making with Atanassov's intuitionistic fuzzy information. Moreover, we extend these aggregation operators and decision making approaches to interval-valued Atanassov's intuitionistic fuzzy environments.