Decision algorithm for picture fuzzy sets and Aczel Alsina aggregation operators based on unknown degree of wights

Hussain, Abrar; Liu, Yu; Ullah, Kifayat; Rashid, Muhammad; Senapati, Tapan; Moslem, Sarbast

doi:10.1016/j.heliyon.2024.e27548

Cited by 2 publications

(2 citation statements)

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“…Step 8: Calculate the differences between the positive ideal value with each value of the final decision matrix. Similarly, calculate the difference between the negative ideal value with each value of the final decision matrix by using Equations ( 7) and (8).…”

Section: Pseudo-code Of the Fuzzy Multifuzztops Modelmentioning

confidence: 99%

“…Various factors play a role in decision-making that make it extremely difficult. Using the basic idea of symmetry to balance the arrangement where elements or features have an equality or similarity in distribution, multi-criteria decision-making (MCDM) provides robust decisions in these complex issues where selecting the best alternative is extremely difficult [7,8]. Symmetry in the MCDM ensures consistency and fairness by balancing the weighting or preference of the individual criteria.…”

Section: Introductionmentioning

confidence: 99%

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MultiFuzzTOPS: A Fuzzy Multi-Criteria Decision-Making Model Using Type-2 Soft Sets and TOPSIS

Manzoor,

Mustafa,

Gulzar

et al. 2024

Symmetry

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Effective and optimal decision-making can enhance system performance, potentially leading to a positive reputation and financial gains. Multi-criteria decision-making (MCDM) is an important research topic widely applied to practical decision-making problems. Using the basic idea of symmetry to balance the arrangement where elements or features have an equality or similarity in distribution, MCDM provides robust decisions in such multi-dimensional complex issues. This study proposes MultiFuzzTOPS, a decision-making model to deal with complexity of multi-criteria decision-making. The proposed MultiFuzzTOPS leverages the fuzzy logic and soft sets such as type-2 soft sets (T2SS) and technique for order preference by similarity to ideal solution (TOPSIS) for decision-making. We validate the proposed model by implementing it to solve the pesticide selection problem in food science by considering various criteria for the selection of pesticides. Our proposed MultiFuzzTOPS recommends the best pesticide compared with its counterparts because it covers the maximum information for the selection of the best alternative. Results are ranked on the basis of the Hamming distance and similarity coefficient. We also validate the effectiveness by performing the sensitivity analysis, and the validation shows the reliability and effectiveness of our proposed model.

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Section: Pseudo-code Of the Fuzzy Multifuzztops Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%