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Multicriteria group decision making for COVID-19 testing facility based on picture cubic fuzzy aggregation information.
- Source :
-
Granular computing [Granul Comput] 2023; Vol. 8 (4), pp. 771-792. Date of Electronic Publication: 2022 Nov 02. - Publication Year :
- 2023
-
Abstract
- The information aggregation of cubic fuzzy numbers and picture fuzzy numbers have played an important role in decision making. This paper introduces a novel approach to address the problem of testing facility of COVID-19 under picture cubic fuzzy environment. As the picture cubic fuzzy set is a generalized fuzzy structure to handle more uncertainty and ambiguity in decision making problems We discuss its various properties. Based on geometric aggregation operators and Hamacher operations, we introduce some Hamacher geometric aggregation operators under picture cubic fuzzy information. Namely, picture cubic fuzzy Hamacher weighted geometric aggregation operator, picture cubic fuzzy Hamacher hybrid geometric operator, picture cubic fuzzy Hamacher order weighted geometric aggregation operator. Discuss some properties of the defined operators. To verify the importance of the proposed operators, develop multicriteria group decision making (MCGDM) algorithm under picture cubic fuzzy environment and apply this strategy for the selection of an authentic laboratory for COVID-19 test. Further to validate the supremacy of our proposed operators, we present a comparative analysis with pre-existing aggregation operators. Results show that the proposed technique is more effective and suitable for MCGDM problems.<br />Competing Interests: Conflict of interestThe authors declared that they have no conflict of interest<br /> (© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2022, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)
Details
- Language :
- English
- ISSN :
- 2364-4974
- Volume :
- 8
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Granular computing
- Publication Type :
- Academic Journal
- Accession number :
- 38625319
- Full Text :
- https://doi.org/10.1007/s41066-022-00350-1