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Neural Computing and Applications

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09-02-2016 | Original Article

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

Author: Faruk Karaaslan

Published in: Neural Computing and Applications | Issue 9/2017

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Abstract

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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Title: Correlation coefficients of single-valued neutrosophic refined soft sets and their applications in clustering analysis
Author: Faruk Karaaslan
Publication date: 09-02-2016
Publisher: Springer London
Published in: Neural Computing and Applications / Issue 9/2017
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-016-2209-8

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