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

Correlation coefficients of single-valued neutrosophic refined soft sets and their applications... 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Neural Computing and Applications Springer Journals

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

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Publisher
Springer London
Copyright
Copyright © 2016 by The Natural Computing Applications Forum
Subject
Computer Science; Artificial Intelligence (incl. Robotics); Data Mining and Knowledge Discovery; Probability and Statistics in Computer Science; Computational Science and Engineering; Image Processing and Computer Vision; Computational Biology/Bioinformatics
ISSN
0941-0643
eISSN
1433-3058
D.O.I.
10.1007/s00521-016-2209-8
Publisher site
See Article on Publisher Site

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.

Journal

Neural Computing and ApplicationsSpringer Journals

Published: Feb 9, 2016

References

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