Interval-valued intuitionistic fuzzy combined weighted averaging operator for group decision making

Sidong Xian (), Yafen Dong and Yubo Yin
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Sidong Xian: Chongqing University of Posts and Telecommunications
Yafen Dong: Chongqing University of Posts and Telecommunications
Yubo Yin: Chongqing University of Posts and Telecommunications

Journal of the Operational Research Society, 2017, vol. 68, issue 8, 895-905

Abstract: Abstract Determining the attribute weights, in the multiple attribute group decision-making analysis with interval-valued intuitionistic fuzzy information, plays a crucial role because of its direct effect on the optimal alternative. In this paper, we develop a new attribute weight based on the support and entropy measure of attribute values. Then, the interval-valued intuitionistic fuzzy combined weighted averaging (IVIFCWA) operator is proposed and its some primary properties are discussed. The IVIFCWA operator’s attribute values take the form of interval-valued intuitionistic fuzzy numbers and the principal component of the interval-valued intuitionistic fuzzy number is fully taken into account. Finally, a numerical example concerning the investment strategy is given to illustrate the validity and applicability of the proposed method.

Keywords: interval-value intuitionistic fuzzy number; attribute weight; support measure; interval-valued intuitionistic fuzzy combined weighted averaging operator; group decision making (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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DOI: 10.1057/s41274-017-0241-4

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