The refined logic is generalization ofthe classical neutrosophic logic to n-valued neutrosophic logic, by extending each neutrosophic component T, I and F into T 1 , T 2 ,…,T m , I 1 , I 2 ,…,I n and F 1 , F 2 ,…,F r , respectively.
Published in Chapter:
Refined Neutrosophic Sets and Refined Neutrosophic Soft Sets: Theory and Applications
Irfan Deli (Kilis 7 Aralık University, Turkey)
Copyright: © 2016
|Pages: 23
DOI: 10.4018/978-1-4666-9798-0.ch016
Abstract
Refined neutrosophic sets (RNS) are a generalization of a neutrosophic sets, intuitionistic fuzzy sets, fuzzy sets, intuitionistic fuzzy multi-sets and fuzzy multi-sets. Similarly, refined neutrosophic soft sets (RNSS) are a generalization of a neutrosophic soft sets, intuitionistic fuzzy soft sets, fuzzy soft sets, intuitionistic fuzzy soft multi-sets and fuzzy soft multi-sets. These sets are a powerful general formal framework that has been proposed to present uncertainty, imprecise, incomplete, inaccurate and inconsistent information which exist in real life. This chapter will survey concept of RNS and concept of RNSS with basic definitions and will present an efficient approach for both RNS and RNSS. Also, the chapter will introduce an application of RNS in medical diagnosis problem, pattern recognition and an application of RNSS in decision making to illustrate the advantage of the proposed approach.