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Granular Computing

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07.08.2019 | Original Paper

Group decision-making approach under multi (Q, N)-soft multi granulation rough model

verfasst von: Muhammad Akram, Ghous Ali

Erschienen in: Granular Computing | Ausgabe 2/2021

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Abstract

In this paper, we propose three novel hybrid models for multi-attribute decision-making, namely, multi Q-fuzzy N-soft sets [in short, multi (Q, N)-soft sets], multi (Q, N)-soft rough sets and multi (Q, N)-soft multi-granulation rough sets. We present some properties of these models and illustrate with examples. Further, we define multi (Q, N)-soft rough approximation operators in terms of multi (Q, N)-soft relations. We describe the properties of the lower and upper multi (Q, N)-soft rough approximation operators. Moreover, we present respective new approaches of the proposed models to decision-making problems in an algorithmic format. We apply the presented methods to some real-world decision-making problems for the representation of multi-attribute data, selection of suitable medicine sample. Finally, we discuss a comparison between the presented approaches and certain existing methods.

Vorheriger Artikel Multi-criteria decision making under uncertainty via the operations of generalized intuitionistic fuzzy numbers

Nächster Artikel Intuitionistic interval-valued hesitant fuzzy matrix games with a new aggregation operator for solving management problem

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Titel: Group decision-making approach under multi (Q, N)-soft multi granulation rough model
verfasst von: Muhammad Akram
Ghous Ali
Publikationsdatum: 07.08.2019
Verlag: Springer International Publishing
Erschienen in: Granular Computing / Ausgabe 2/2021
Print ISSN: 2364-4966
Elektronische ISSN: 2364-4974
DOI: https://doi.org/10.1007/s41066-019-00190-6

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