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Soft Computing
Erschienen in: Soft Computing 20/2020

18.04.2020 | Methodologies and Application

A modified method of generating Z-number based on OWA weights and maximum entropy

verfasst von: Ye Tian, Bingyi Kang

Erschienen in: Soft Computing | Ausgabe 20/2020

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Abstract

How to generate Z-number is an important and open issue in the uncertain information processing of Z-number. In Kang et al. (Int J Intell Syst 33(8):1745–1755, 2018), a method of generating Z-number using OWA weight and maximum entropy is investigated. However, the meaning of the method in Kang et al. (2018) is not clear enough according to the definition of Z-number. Inspired by the methodology in Kang et al. (2018), we modify the method of determining Z-number based on OWA weights and maximum entropy, which is more clear about the meaning of Z-number. In addition, the model of generating Z-number under the environment of group decision making is well investigated based the modified model. Some numerical examples are used to illustrate the effectiveness of the proposed methodology.
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Metadaten
Titel
A modified method of generating Z-number based on OWA weights and maximum entropy
verfasst von
Ye Tian
Bingyi Kang
Publikationsdatum
18.04.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 20/2020
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-020-04914-8

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