Fuzzy Sets and Systems
Measures of similarity between vague sets
Fuzzy Sets and Systems
An application of intuitionistic fuzzy sets in medical diagnosis
Fuzzy Sets and Systems
New similarity measures of intuitionistic fuzzy sets and application to pattern recognitions
Pattern Recognition Letters
Similarity measures on intuitionistic fuzzy sets
Pattern Recognition Letters
On the Dengfeng-Chuntian similarity measure and its application to pattern recognition
Pattern Recognition Letters
Similarity measures of intuitionistic fuzzy sets based on Hausdorff distance
Pattern Recognition Letters
Similarity measures between intuitionistic fuzzy (vague) sets: A comparative analysis
Pattern Recognition Letters
On the J-divergence of intuitionistic fuzzy sets with its application to pattern recognition
Information Sciences: an International Journal
Fuzzy Sets and Systems
A note on similarity measures between vague sets and between elements
Information Sciences: an International Journal
Intuitionistic Fuzzy Sets: Theory and Applications
Intuitionistic Fuzzy Sets: Theory and Applications
General IF-sets with triangular norms and their applications to group decision making
Information Sciences: an International Journal
Cosine similarity measures for intuitionistic fuzzy sets and their applications
Mathematical and Computer Modelling: An International Journal
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Similarity of intuitionistic fuzzy sets (IFSs) is an important measure to indicate the similarity degree between IFSs. Recently, Ye (2011) proposed a similarity measure between IFSs based on the cosine concept. Although this cosine similarity measure has good concept and merit, the measure is not satisfied the definition of a similarity between IFSs and not presented well for analyzing IFS data. In this paper, we modify the cosine similarity measure between IFSs. This modified similarity measure between IFSs is not only to satisfy the definition of a similarity between IFSs, but also to improve the efficiency of the Ye's measure. An example is used to demonstrate this phenomenon.