Volume 9 Number 1 (Jan. 2014)
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JCP 2014 Vol.9(1): 107-111 ISSN: 1796-203X
doi: 10.4304/jcp.9.1.107-111

Multicriteria Decision-making Method using Cosine Similarity Measures for Reduct Fuzzy Sets of Interval-valued Fuzzy Sets

Shapu Ren, Jun Ye
Department of Electrical and Information Engineering, Shaoxing University. 508 Huancheng West Road, Shaoxing, Zhejiang 312000, P.R. China
Abstract—This paper introduces optimistic, neutral and pessimistic reduct fuzzy sets of an interval-valued fuzzy set, optimistic, neutral and pessimistic cosine similarity measures for the reduct fuzzy sets. A new decision-making method is proposed by means of three weighted cosine similarity measures depending on optimistic, neutral, and pessimistic points to reduce cognitive dissonance in multiple criteria decision analysis. We give the measures of optimism, neutralism, and pessimism to further determine suitability for alternative rankings through choosing optimistic, neutral, and pessimistic weighted cosine similarity measures. Finally, an illustrative example is conducted to validate the feasibility and applicability of the proposed method.

Index Terms—cosine similarity measure, interval-valued fuzzy set, reduct fuzzy set, multicriteria decision making

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Cite: Shapu Ren, Jun Ye, "Multicriteria Decision-making Method using Cosine Similarity Measures for Reduct Fuzzy Sets of Interval-valued Fuzzy Sets," Journal of Computers vol. 9, no. 1, pp. 107-111, 2014.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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