Multi-attribute group decision-making for online education live platform selection based on linguistic intuitionistic cubic fuzzy aggregation operators
نویسندگان
چکیده
The purpose of this study is to propose a multi-attribute group decision-making (MAGDM) method for online education live platform selection based on proposed novel aggregation operators (AOs) under linguistic intuitionistic cubic fuzzy set (LICFS). First, the Archimedean copula and co-copula are extended handle information (LICFI) operational law variables (LICFVs) (EC) (ECC) given. In addition, weighted average (LICFCWA) operator geometric (LICFCWG) EC ECC LICFI; meanwhile, some special forms LICFCWA LICFCWG have been obtained by different types generators ECs ECCs. Third, MAGDM approach constructed solve problem in period COVID-19, detailed parameter analysis was carried out. Fourthly, LICFS will degenerate into set, respectively, cases. Finally, comparisons out with other existing approaches. By comparing experiments, effectiveness flexibility also showed.
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ژورنال
عنوان ژورنال: Computational & Applied Mathematics
سال: 2021
ISSN: ['1807-0302', '2238-3603']
DOI: https://doi.org/10.1007/s40314-020-01406-1