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Artificial Intelligence Review

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25.01.2018

A novel type of soft rough covering and its application to multicriteria group decision making

verfasst von: Jianming Zhan, José Carlos R. Alcantud

Erschienen in: Artificial Intelligence Review | Ausgabe 4/2019

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Abstract

In this paper, we contribute to a recent and successful modelization of uncertainty, which the practitioner often encounters in the formulation of multicriteria group decision making problems. To be precise, in order to approach the uncertainty issue we introduce a novel type of soft rough covering by means of soft neighborhoods, and then we use it to improve decision making in a multicriteria group environment. Our research method is as follows. Firstly we introduce the soft covering upper and lower approximation operators of soft rough coverings. Then its relationships with well-established types of soft rough coverings are analyzed. Secondly, we define and investigate the measure degree of our novel soft rough covering. With this tool we produce a new class of soft rough sets. Finally, we propose an application of such soft rough covering model to multicriteria group decision making by means of an algorithmic solution. A fully developed example supports the implementability of this decision making method.

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Titel: A novel type of soft rough covering and its application to multicriteria group decision making
verfasst von: Jianming Zhan
José Carlos R. Alcantud
Publikationsdatum: 25.01.2018
Verlag: Springer Netherlands
Erschienen in: Artificial Intelligence Review / Ausgabe 4/2019
Print ISSN: 0269-2821
Elektronische ISSN: 1573-7462
DOI: https://doi.org/10.1007/s10462-018-9617-3

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