Support-Intuitionistic Fuzzy Set: A New Concept for Soft Computing

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Xuan Thao Nguyen 1,* Van Dinh Nguyen 1

1. Department of applied Math- Informatics, Faculty of Information Technology, Vietnam national university of agriculture (VNUA)

* Corresponding author.


Received: 17 Aug. 2014 / Revised: 10 Nov. 2014 / Accepted: 17 Jan. 2015 / Published: 8 Mar. 2015

Index Terms

Support-Intuitionistic Fuzzy Sets, Support-Intuitionistic Fuzzy Relations, Support-Intuitionistic Similarity Relations


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.

Cite This Paper

Xuan Thao Nguyen, Van Dinh Nguyen, "Support-Intuitionistic Fuzzy Set: A New Concept for Soft Computing", International Journal of Intelligent Systems and Applications(IJISA), vol.7, no.4, pp.11-16, 2015. DOI:10.5815/ijisa.2015.04.02


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