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Soft Computing

, Volume 18, Issue 1, pp 85–94 | Cite as

An efficient similarity measure for intuitionistic fuzzy sets

  • B. FarhadiniaEmail author
Methodologies and Application

Abstract

We introduce a new methodology for measuring the degree of similarity between two intuitionistic fuzzy sets. The new method is developed on the basis of a distance defined on an interval by the use of convex combination of endpoints and also focusing on the property of min and max operators. It is shown that among the existing methods, the proposed method meets all the well-known properties of a similarity measure and has no counter-intuitive examples. The validity and applicability of the proposed similarity measure is illustrated with two examples known as pattern recognition and medical diagnosis.

Keywords

Intuitionistic fuzzy sets Similarity measures Distance measure Pattern recognition 

Notes

Acknowledgments

The author thanks the editor-in-chief professor Antonio Di Nola and the referees for their helpful suggestions which improved the presentation of the paper.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Department of MathemeticsQuchan Institute of Engineering and TechnologyQuchanIran

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