Fuzzy equivalence on standard and rough neutrosophic sets and applications to clustering analysis
Version 2 2024-06-06, 10:46Version 2 2024-06-06, 10:46
Version 1 2019-05-17, 15:21Version 1 2019-05-17, 15:21
conference contribution
posted on 2024-06-06, 10:46 authored by NX Thao, LH Son, BC Cuong, M Ali, LH Lan© Springer Nature Singapore Pte Ltd. 2018. 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.
History
Pagination
834-842Location
Da Nang, VietnamStart date
2017-06-15End date
2017-06-17ISSN
2194-5357ISBN-13
9789811075117Language
engPublication classification
E1.1 Full written paper - refereedEditor/Contributor(s)
Bhateja V, Nguyen B, Nguyen N, Satapathy S, Le DTitle of proceedings
INDIA 2017 : Information systems design and intelligent applications : proceedings of Fourth International ConferenceEvent
Information System Design and Intelligent Applications. Conference (2017 : 4th : Đà Nẵng, Vietnam)Publisher
SpringerPlace of publication
SingaporeSeries
Advances in Intelligent Systems and Computing; 672Usage metrics
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