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Article type: Research Article
Authors: Qiyas, Muhammada | Abdullah, Saleema | Naeem, Muhammadb; * | Khan, Neelama
Affiliations: [a] Department of Mathematics, Abdul Wali Khan University Mardan, KP, Pakistan | [b] Deanship of Joint First Year Umm Al-Qura University, Makkah, Saudi Arabia
Correspondence: [*] Corresponding author. Muhammad Naeem, Deanship of Joint First Year Umm Al-Qura University, Makkah, P.O. Box 715, Saudi Arabia. E-mail: [email protected].
Abstract: In daily life, the decision making problem is a complicated work related to uncertainties and vagueness. To overcome this vagueness and uncertainties, many fuzzy sets and theories have been presented by different scholars and researchers. EDA𝒮 (Evaluation based on distance from average solution) method plays a major role in decision-making problems. Especially, when multi-attribute group decision-making (MAGDM) problems have more conflicting attribute. In this paper, a new approach known as Spherical fuzzy rough-EDA𝒮 (SFR-EDA𝒮) method is used to handle these uncertainties in the MAGDM problem. The aggregation operators have the ability to combine different sources of information, which plays an essential role in decision making (DM) problem. Keeping in view the increasing complexity of the DM problem, it will be useful to combine the aggregation operators with the fuzzy sets in solving DM problem. Therefore, an aggregation operator known as SFR-EDA𝒮 method is utilized. For this propounded some new averaging and geometric aggregation is investigated. Moreover, the essential and desirable properties with some particular cases are deliberated and discussed detail. To evaluate the emergency program, a MAGDM approach is used based on the new introduced operators. Later on, the viability and applicability the proposed method is certified by a detailed analysis with the other existing approaches.
Keywords: Spherical fuzz sets, rough sets, EDA𝒮 method, aggregation operators
DOI: 10.3233/JIFS-211056
Journal: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 1, pp. 477-498, 2023
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