New Similarity Measures of Fuzzy Soft Sets Based on Distance Measures
نویسندگان
چکیده
Similarity measure is a very important problem in fuzzy soft set theory. In this paper, seven similarity measures of fuzzy soft sets are introduced, which are based on the normalized Hamming distance, the normalized Euclidean distance, the generalized normalized distance, the Type-2 generalized normalized distance, the Type-2 normalized Euclidean distance, the Hausdorff distance and the Chebyshev distance. Secondly, some properties of these similarity measures are analyzed. Thirdly, comparison analysis on these similarity measures is provided. Moreover, an example is given to illustrate the application of these different similarity measures of fuzzy soft sets in decision making. 2010 AMS Classification: 03E72, 08A72
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