New similarity and entropy measures of single-valued neutrosophic sets with applications in multi-attribute decision making-Reference-Cited by-同舟云学术

New similarity and entropy measures of single-valued neutrosophic sets with applications in multi-attribute decision making

Published:2020-04-21 Issue:21 Volume:24 Page:16165-16176
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Qin Keyun,Wang Lu

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-020-04930-8.pdf

Reference42 articles.

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4. Abualigah LM, Khader AT, Hanandeh ES (2018a) A combination of objective functions and hybrid krill herd algorithm for text document clustering analysis. Eng Applic Artif Intell 73:111–125

5. Abualigah LM, Khader AT, Hanandeh ES (2018b) A new feature selection method to improve the document clustering using particle swarm optimization algorithm. J Comput Sci 25:456–466

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