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Soft Computing

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10.08.2018 | Methodologies and Application

Note on the aggregation operators and ranking of hesitant interval-valued fuzzy elements

verfasst von: Wenyi Zeng, Deqing Li, Yundong Gu

Erschienen in: Soft Computing | Ausgabe 17/2019

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Abstract

Hesitant interval-valued fuzzy set, which allows decision makers to use several interval numbers to assess a variable, is a useful tool to deal with situations in which people are hesitant in providing their interval-valued assessments. In this paper, we investigate the properties of hesitant interval-valued fuzzy aggregation operators and the approach for ranking a set of hesitant interval-valued fuzzy elements. Some flaws about the properties presented by Wei et al. (Knowl Based Syst 46:43–53, 2013) are pointed out and analyzed by counterexamples, and some modifications on the properties are given. Simultaneously, two flaws about the approach for ranking hesitant interval-valued fuzzy elements provided by Wei et al. (2013) are analyzed by counterexamples. A new algorithm for ranking a set of hesitant interval-valued fuzzy elements is provided. The rationality of the modified ranking approach is investigated.

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Titel: Note on the aggregation operators and ranking of hesitant interval-valued fuzzy elements
verfasst von: Wenyi Zeng
Deqing Li
Yundong Gu
Publikationsdatum: 10.08.2018
Verlag: Springer Berlin Heidelberg
Erschienen in: Soft Computing / Ausgabe 17/2019
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-018-3445-x

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