Multi-attribute decision-making for electronic waste recycling using interval-valued Fermatean fuzzy Hamacher aggregation operators

نویسندگان

چکیده

The utilization of electrical and electronics equipments in waste recycling has become a paramount for various countries. equipment (WEEE) recyclers own crucial position the environmental growth country as they help to minimize carbon emissions during WEEE most eco-friendly way. Therefore, selection assessment an appropriate partner important part DM (decision-making) applications. collusion numerous quantitative qualitative factors makes problem, multifaced significant decision managerial experts. main objective this work is propose MADM (multi-attribute decision-making) techniques evaluate partners under interval-valued Fermatean fuzzy (IVFF) information. In regard, certain Hamacher AOs (aggregation operators) are proposed develop required method. These include weighted averaging, ordered geometric, generalized Einstein etc. Then, these averaging operators utilized come up with IVFF environment. Furthermore, constructed technique applied case study China incorporate e-waste problem. Moreover, brief comparison presented existing manifest productivity coherence model. Finally, accuracy consistency results shows that fully compatible applicable handle any

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ژورنال

عنوان ژورنال: Granular computing

سال: 2023

ISSN: ['2364-4974', '2364-4966']

DOI: https://doi.org/10.1007/s41066-023-00363-4