A 2-dimensional uncertain linguistic MABAC method for multiattribute group decision-making problems
نویسندگان
چکیده
Abstract The 2-dimensional uncertain linguistic variable (2DULV) can depict decision-makers’ subjective assessments on the reliability of given evaluation results, which is a valid and practical tool to express decision information. In this study, we develop an improved MABAC method with 2DULVs handle multiattribute group decision-making (MAGDM) problems where weight information attributes unknown. First, some related theories basic procedure are briefly reviewed. Then, maximum comprehensive value extended obtain combination weights attributes, in determined according best–worst (BWM) objective calculated by deviation method. Besides, generalized weighted average operator for (2DULGWA) utilized aggregate all experts. Finally, (2DUL-MABAC) proposed, example carried out explain validity proposed approach.
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ژورنال
عنوان ژورنال: Complex & Intelligent Systems
سال: 2021
ISSN: ['2198-6053', '2199-4536']
DOI: https://doi.org/10.1007/s40747-021-00372-3