Spherical Fuzzy Information Aggregation Based on Aczel–Alsina Operations and Data Analysis for Supply Chain
نویسندگان
چکیده
Spherical fuzzy sets (SFSs) are often made up of membership, nonmembership, and hesitancy grades, also have the advantage accurately representing decision makers (DMs) preferences. This article proposes novel spherical aggregation operators (AOs) based on Aczel–Alsina (AA) operations, which offer a lot advantages when tackling real-world situations. We begin by introducing some new SFS such as product, sum, exponent, scalar multiplication. developed many AOs namely, “spherical weighted averaging (SFAAWA) operator,” ordered (SFAAOWA) hybrid (SFAAHA) geometric (SFAAWG) (SFAAOWG) (SFAAHG) operator.” Different attributes these been defined. The idempotency, boundary, monotonicity, commutativity suggested demonstrated. Then, operators, we propose approach for “multi-criteria decision-making” (MCDM) problems. use agriculture land selection scenario to demonstrate efficacy our proposed approach. outcome confirms technique’s applicability viability. Furthermore, sensitivity analysis comparison between existing approaches recommended technique provided.
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ژورنال
عنوان ژورنال: Mathematical Problems in Engineering
سال: 2022
ISSN: ['1026-7077', '1563-5147', '1024-123X']
DOI: https://doi.org/10.1155/2022/9657703