Fuzzy Equivalence on Standard and Rough Neutrosophic Sets and Applications to Clustering Analysis

Thao, Nguyen Xuan and Son, Le Hoang and Cuong, Bui Cong and Ali, Mumtaz and Lan, Luong Hong (2018) Fuzzy Equivalence on Standard and Rough Neutrosophic Sets and Applications to Clustering Analysis. In: 4th International Conference on Information Systems Design and Intelligent Applications (INDIA 2017), 15–17 June 2017, Da Nang, Vietnam.

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Abstract

In this paper, we propose the concept of fuzzy equivalence on standard neutrosophic sets and rough standard neutrosophic sets. We also provide some formulas for fuzzy equivalence on standard neutrosophic sets and rough standard neutrosophic sets. We also apply these formulas for cluster analysis. Numerical examples are illustrated.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to Published version, in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences (1 Jul 2013 - 5 Sep 2019)
Faculty/School / Institute/Centre: Historic - Faculty of Health, Engineering and Sciences - School of Agricultural, Computational and Environmental Sciences (1 Jul 2013 - 5 Sep 2019)
Date Deposited: 29 Jul 2020 06:04
Last Modified: 14 Sep 2020 05:37
Uncontrolled Keywords: Fuzzy equivalence; Neutrosophic set; Rough set; Rough neutrosophic set; Fuzzy clustering
Fields of Research (2008): 08 Information and Computing Sciences > 0806 Information Systems > 080605 Decision Support and Group Support Systems
Identification Number or DOI: https://doi.org/10.1007/978-981-10-7512-4_82
URI: http://eprints.usq.edu.au/id/eprint/35509

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