CODAS METHOD WITH PROBABILISTIC HESITANT FUZZY INFORMATION AND ITS APPLICATION TO ENVIRONMENTALLY & ECONOMICALLY BALANCED SUPPLIER SELECTION
نویسندگان
چکیده
With the rise of concept environmental protection and attention all sectors society to ecological environment, selection green suppliers is a hot topic. In this paper, we develop combinative distance-based assessment (CODAS) method in probabilistic hesitant fuzzy sets (PHFSs) cope with multiple attributes group decision making (MAGDM). A standardized approach that integrates methods applied normalize original data. Moreover, statistics variance (SV) under PHFSs calculate objective weighting vector evaluation criteria. end, case for supplier comparative analysis are used confirm feasibility utility new approach.
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ژورنال
عنوان ژورنال: Technological and Economic Development of Economy
سال: 2022
ISSN: ['2029-4913', '2029-4921']
DOI: https://doi.org/10.3846/tede.2022.17273