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Cluster Computing

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30.03.2018

A new concept of Cosine similarity measures based on dual hesitant fuzzy sets and its possible applications

verfasst von: Yutao Zhang, Lei Wang, Xiaohan Yu, Changhua Yao

Erschienen in: Cluster Computing | Sonderheft 6/2019

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Abstract

Most real-world problems are typical multi-criteria decision making problems which including ambiguity and subjectivity. Dual fuzzy sets (DHFS) are new extensions of fuzzy sets, which can cope with areas of vagueness effectively. In this paper, we propose one new similarity measure called cosine measure which has the ability to model various problems for DHFSs and study some formal relations. We provided three numerical examples including a medical diagnosis problem, an energy projects problem and a weapon selection problem to show the behaviour of the proposed cosine similarity measure.

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Titel: A new concept of Cosine similarity measures based on dual hesitant fuzzy sets and its possible applications
verfasst von: Yutao Zhang
Lei Wang
Xiaohan Yu
Changhua Yao
Publikationsdatum: 30.03.2018
Verlag: Springer US
Erschienen in: Cluster Computing / Ausgabe Sonderheft 6/2019
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI: https://doi.org/10.1007/s10586-018-2654-5

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