Similarity measures for intuitionistic fuzzy sets: State of the art

Authors:
Leila Baccour;Adel M. Alimi;Robert I. John
Affiliations:
REGIM: REsearch Group on Intelligent Machines, University of Sfax, National Engineering School of Sfax ENIS, Sfax, Tunisia;REGIM: REsearch Group on Intelligent Machines, University of Sfax, National Engineering School of Sfax ENIS, Sfax, Tunisia;Center for Computational Intelligence De Montfort University, The Gateway, Leicester, UK
Venue:
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Year:
2013

Citing 23
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Abstract

Intuitionistic fuzzy sets gained attention of many researchers and are employed in many axes of research. Thus, different operators are given to deal with intuitionistic fuzzy sets, among them similarity measures. The latter are the object of many propositions and discussions. Our aim is to present several studies on similarity measures between intuitionistic fuzzy sets. Such presentation is very important for different research topics such as pattern recognition, decision making and market prediction.