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Erschienen in: International Journal of Machine Learning and Cybernetics 3/2020

24.10.2019 | Original Article

Three-way decision based on decision-theoretic rough sets with single-valued neutrosophic information

verfasst von: Li Jiao, Hai-Long Yang, Sheng-Gang Li

Erschienen in: International Journal of Machine Learning and Cybernetics | Ausgabe 3/2020

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Abstract

In this paper, we propose two new three-way decision models based on decision-theoretic rough sets with single-valued neutrosophic information. These two models adopt different ranking methods, one of which is the ranking method based on cosine similarity measure. The other is the ranking method based on Euclidean distance. The key steps of the proposed models were shown by an algorithm and we present the breakfast shop siting problem to demonstrate the rationality and practicability of the proposed models. Finally, we make comparison analysis between the two models, and compare our models with other existing related models.

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Metadaten
Titel
Three-way decision based on decision-theoretic rough sets with single-valued neutrosophic information
verfasst von
Li Jiao
Hai-Long Yang
Sheng-Gang Li
Publikationsdatum
24.10.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Machine Learning and Cybernetics / Ausgabe 3/2020
Print ISSN: 1868-8071
Elektronische ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-019-01023-3

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