Interval valued fuzzy sets based on normal forms
Fuzzy Sets and Systems
A comparative assessment of measures of similarity of fuzzy values
Fuzzy Sets and Systems
Some notes on similarity measure and proximity measure
Fuzzy Sets and Systems
Cluster analysis based in fuzzy relations
Fuzzy Sets and Systems - Special issue on clustering and learning
A robust fuzzy k-means clustering model for interval valued data
Computational Statistics
Information Sciences: an International Journal
Interval-valued fuzzy relation-based clustering with its application to performance evaluation
Computers & Mathematics with Applications
Relationship between similarity measure and entropy of interval valued fuzzy sets
Fuzzy Sets and Systems
Advances and challenges in interval-valued fuzzy logic
Fuzzy Sets and Systems
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Interval-valued fuzzy set (IVFS) is an extension of fuzzy set in which it presents a fuzzy set with an interval-valued membership. A similarity measure is a useful tool for determining the similarity degree between two objects. It is also an important measure for fuzzy concepts. In this paper, we propose a new similarity measure between IVFSs. Some properties of this similarity measure are also made. We make numerical comparisons of the proposed similarity measure with some existing measures. These comparison results show the superiority of our proposed similarity measure.