Support-Intuitionistic Fuzzy Set: A New Concept for Soft Computing
Автор: Xuan Thao Nguyen, Van Dinh Nguyen
Журнал: International Journal of Intelligent Systems and Applications(IJISA) @ijisa
Статья в выпуске: 4 vol.7, 2015 года.
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Today, soft computing is a field that is used a lot in solving real-world problems, such as problems in economics, finance, banking... With the aim to serve for solving the real problem, many new theories and/or tools which were proposed, improved to help soft computing used more efficiently. We can mention some theories as fuzzy sets theory (L. Zadeh, 1965), intuitionistic fuzzy set (K Atanasov, 1986). In this paper, we introduce a new notion of support-intuitionistic fuzzy (SIF) set, which is the combination a intuitionistic fuzzy set with a fuzzy set. So, SIF set is a directly extension of fuzzy set and intuitionistic fuzzy sets (Atanassov). Then, we define some operators on support-intuitionistic fuzzy sets, and investigate some properties of these operators.
Support-Intuitionistic Fuzzy Sets, Support-Intuitionistic Fuzzy Relations, Support-Intuitionistic Similarity Relations
Короткий адрес: https://sciup.org/15010672
IDR: 15010672
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