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• W4310508052 abstract "In this chapter, we investigate a multiple attribute group decision-making (MAGDM) approach based on q-rung orthopair fuzzy 2-tuple linguistic set (q-ROFTLS) to increase the capability of 2-tuple linguistic terms to describe ambiguous information. The Hamy mean (HM) operator can capture the significant connection between multiple integration parameters as an effective aggregation tool. Then, the q-ROFTL Hamy mean (q-ROFTLHM) operator, the q-ROFTL weighted Hamy mean (q-ROFTLWHM) operator, the q-ROFTL dual Hamy mean (q-ROFTLDHM) operator, and the q-ROFTL weighted dual Hamy mean (q-ROFTLWDHM) operator are presented in q-ROFTL environment. In the MAGDM environment, the framework of proposed aggregation operators can efficiently combine attribute values. Aspects of these operators, properties are also investigated. Moreover, in this research study, we use the evaluation based on the distance from the average solution (EDAS) approach to MAGDM with q-ROFTLNs. The developed q-ROFTL-EDAS approach is one of the most successful ways for solving MAGDM issues with the choice of the best option. In a summary, the framework key steps with the graphical representation for the ranking of alternatives are presented. To be precise, the proposed technique can adequately respond to the unpredictability of MAGDM and increase the rationality of group decision-making since it completely incorporates the psychological aspects of decision experts. Finally, to demonstrate the suggested decision procedure, we present an innovative case for evaluating the ecological value of a forest bio-diversity vacation area." @default.
• W4310508052 created "2022-12-11" @default.
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• W4310508052 date "2022-12-02" @default.
• W4310508052 modified "2023-10-16" @default.
• W4310508052 title "q-Rung Orthopair Fuzzy 2-Tuple Linguistic Hamy Mean Operators for MAGDM with Modified EDAS Method" @default.
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• W4310508052 doi "https://doi.org/10.1007/978-981-19-4929-6_18" @default.
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