2015Journal of Intelligent & Fuzzy SystemsRequires access

Similarity measures of intuitionistic fuzzy sets based on cosine function for the decision making of mechanical design schemes

Jun Ye

Open publisher page 84 citations

Abstract

Based on cosine function and the information carried by the membership degrees, nonmembership degree and hesitancy degree in intuitionistic fuzzy sets (IFSs), this paper proposes two new cosine similarity measures and weighted cosine similarity measures between IFSs. Then, we give the comparative analysis of various trigonometric similarity measures by several numerical examples to illustrate the effectiveness of the developed cosine similarity measures of IFSs. Furthermore, we develop a decision-making method using the weighted cosine similarity measures for choosing mechanical design schemes (alternatives). Finally, a decision-making example on choosing mechanical design schemes is given to demonstrate the applications and efficiency of the proposed decision-making method.

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What this paper is about

Based on cosine function and the information carried by the membership degrees, nonmembership degree and hesitancy degree in intuitionistic fuzzy sets (IFSs), this paper proposes two new cosine similarity measures and weighted cosine similarity measures between IFSs. Then, we give the comparative analysis of various trigonometric similarity measures by several numerical examples to illustrate the effectiveness of the developed cosine similarity measures of IFSs. Furthermore, we develop a decision-making method using the weighted cosine similarity measures for choosing mechanical design schemes (alternatives). Finally, a decision-making example on choosing mechanical design schemes is given to demonstrate the applications and efficiency of the proposed decision-making method.

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Available abstract

Based on cosine function and the information carried by the membership degrees, nonmembership degree and hesitancy degree in intuitionistic fuzzy sets (IFSs), this paper proposes two new cosine similarity measures and weighted cosine similarity measures between IFSs. Then, we give the comparative analysis of various trigonometric similarity measures by several numerical examples to illustrate the effectiveness of the developed cosine similarity measures of IFSs. Furthermore, we develop a decision-making method using the weighted cosine similarity measures for choosing mechanical design schemes (alternatives). Finally, a decision-making example on choosing mechanical design schemes is given to demonstrate the applications and efficiency of the proposed decision-making method.

Key concepts: Cosine similarity, Trigonometric functions, Similarity (geometry), Trigonometry, Mathematics, Fuzzy logic, Function (biology), Membership function

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