A comparative assessment of measures of similarity of fuzzy values
Fuzzy Sets and Systems
Similarity measure between fuzzy sets and between elements
Fuzzy Sets and Systems
A comparison of similarity measures of fuzzy values
Fuzzy Sets and Systems
Measures of similarity between vague sets
Fuzzy Sets and Systems
Vague sets are intuitionistic fuzzy sets
Fuzzy Sets and Systems
Distances between intuitionistic fuzzy sets
Fuzzy Sets and Systems
New similarity measures of intuitionistic fuzzy sets and application to pattern recognitions
Pattern Recognition Letters
Fuzzy Sets and Systems
A note on similarity measures between vague sets and between elements
Information Sciences: an International Journal
Similarity measures between vague sets and between elements
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Intuitionistic fuzzy set vs. fuzzy set application in medical pattern recognition
Artificial Intelligence in Medicine
Solution of a class of Intuitionistic Fuzzy Assignment Problem by using similarity measures
Knowledge-Based Systems
Cosine similarity measures for intuitionistic fuzzy sets and their applications
Mathematical and Computer Modelling: An International Journal
Prototype system for pursuing firm's core capability
Information Systems Frontiers
Hesitation degree-based similarity measures for intuitionistic fuzzy sets
International Journal of Information and Communication Technology
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Li and Cheng ^[^1^] and Hong and Kim ^[^2^] proposed several similarity measures between intuitionistic fuzzy sets and between vague sets, respectively. In this paper, by analyzing these similarity measures, we show that they are not reasonable in some cases. Some new methods for measuring the degree of similarity between intuitionistic fuzzy sets and between elements are proposed and their properties are discussed. These new methods turned out to be more reasonable by comparison. Finally, we use the same examples given by Li and Cheng ^[^1^] to show the application of the new measure methods in pattern recognition.