Multiple Attribute Group Decision-Making Based on Intuitionistic Fuzzy Schweizer-Sklar Generalized Power Aggregation Operators
نویسندگان
چکیده
An intuitionistic fuzzy set (IFS) is a valuable tool to execute uncertain and indeterminate information. IFSs are more suitable identify decision-maker’s evaluation data in decision-making problems. Intuitionistic aggregation operators (AOs) of enormous consequences multiple attribute group (MAGDM) problems with an environment. Consequently, the main impacts this article are: firstly, instigate various new novel generalized power AOs based on Schweizer-Sklar operational rules for IFS. Secondly, study aims discuss characteristics particular cases AOs. The core edge proposed that they can eradicate influence uncomfortable which could be too high or low, making them admirable efficiently solving complex MAGDM Thirdly, we two algorithms deal established Lastly, appertain anticipated method health care waste treatment technology selection (HCW-TT) show competence algorithms. prevailing novelties these items duplex. Firstly, initiated IFNs. approaches IF initiated, one known decision-makers (DMs) attributes weights, while other unknown DMs weights.
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ژورنال
عنوان ژورنال: Mathematical Problems in Engineering
سال: 2022
ISSN: ['1026-7077', '1563-5147', '1024-123X']
DOI: https://doi.org/10.1155/2022/4634411