Support-Neutrosophic Set: A New Concept in Soft Computing

Abstract

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), neutrosophic set (F. Smarandache 1999). In this paper, we introduce a new notion of support-neutrosophic set (SNS), which is the combination a neutrosophic set with a fuzzy set. So, SNS set is a direct extension of fuzzy set and neutrosophic sets (F. Smarandache). Then, we define some operators on the support-neutrosophic sets, and investigate some properties of these operators.

Keywords

• support-neutrosophic sets
• support-neutrosophic fuzzy relations
• support- neutrosophic similarity relations