
In approximation theory, neutrosophic set and logic show an important role. They are generalizations of intuitionistic fuzzy set and logic respectively. Based on neutrosophy, which is a new branch of philosophy, every idea X, has an opposite denoted as anti (X) and their neutral which is denoted as neut (X). These are the main features of neutrosophic set and logic. This chapter is based on the basic concepts of neutrosophic set as well as some of their hybrid structures. In this chapter, we define and study the notion of neutrosophic set and their basic properties. Moreover, interval-valued neutrosophic set are studied with some of their properties. Finally, we define rough neutrosophic sets.
Similarity Measures in Neutrosophic Sets, Data Envelopment Analysis, Correlation Coefficients of Neutrosophic Sets, Neutrosophic Set Theory, 511, Rough Neutrosophic Sets, Cross-entropy, Single and Multi-valued Neutrosophic Sets, Neutrosophic Valued Linguistic Soft Sets, Bipolar Neutrosophic Graphs, Power Aggregation Operators, Multicriteria Decision Making
Similarity Measures in Neutrosophic Sets, Data Envelopment Analysis, Correlation Coefficients of Neutrosophic Sets, Neutrosophic Set Theory, 511, Rough Neutrosophic Sets, Cross-entropy, Single and Multi-valued Neutrosophic Sets, Neutrosophic Valued Linguistic Soft Sets, Bipolar Neutrosophic Graphs, Power Aggregation Operators, Multicriteria Decision Making
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