4.6 Article

Correlation coefficients of single-valued neutrosophic refined soft sets and their applications in clustering analysis

期刊

NEURAL COMPUTING & APPLICATIONS
卷 28, 期 9, 页码 2781-2793

出版社

SPRINGER
DOI: 10.1007/s00521-016-2209-8

关键词

Soft set; Neutrosophic soft set; Single-valued neutrosophic refined set; Single-valued neutrosophic refined soft set; Correlation coefficient; Clustering analysis

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Neutrosophic set theory based on neutrosophy, which is a branch of philosophy, is an important tool for dealing with uncertainty and inconsistency data. Concept of single-valued neutrosophic set is defined as a generalization of the concept of single-valued neutrosophic set, which is useful to model some engineering applications. In this study, the concept of single-valued neutrosophic refined soft set is defined as an extension of single-valued neutrosophic refined set. Also, set theoretical operations between two single-valued neutrosophic refined soft sets are defined and some basic properties of these operations are investigated. Furthermore, two methods to calculate correlation coefficient between two single-valued neutrosophic refined soft sets are proposed, and a clustering analysis application of one of proposed methods is given.

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