Dòng Nội dung
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New Dissimilarity Measures On Picture Fuzzy Sets And Applications / Le Thi Nhung, Nguyen Van Dinh, Ngoc Minh Chau, Nguyen Xuan Thao // Tạp chí Tin học và Điều khiển học = Journal of Computer Science And Cybernetics . - 2018. - Page 219 - 231. - ISSN:


13 p.
Ký hiệu phân loại (DDC): 629.831
The dissimilarity measure between fuzzy sets/ intuitionistic fuzzy sets/picture fuzzy sets are studied and applied in various matters. In this paper. we propose some new dissimilarity measures on picture fuzzy sets. These new dissimilarity measures overcome the restrictions of all existing dissimilarity measures on picture fuzzy sets. After that, we apply these new measures to the pattern recognition problem . Finally we introduce a multi - criteria decision making (MCDM) method that use the new dissimilarity measures and apply them in the supplier selection problems
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2
Theoretical analysis of picture fuzzy clustering / Phạm Thị Minh Phương, Phạm Huy Thông, Lê Hoàng Sơn // Tạp chí Tin học và Điều khiển học = Journal of Computer Science And Cybernetics . - 2018. - Page 17 - 31. - ISSN:


15 p.
Ký hiệu phân loại (DDC): 629.8312
Recently picture fuzzy clustering (_FC-PFS) has been introduced as a new computational intelligence tool for various problems in knowledge discovery and pattern recognition However.an important question that was lacked in the related researches is examination of mathematical properties behind the picture fuzzy clustering algorithm such as the convergence, the boundary or the convergence rate etc. In this paper, we will prove that FC—PF'S converges to at least one local minimum. Analysis on the loss function is also considered
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