ArticleJournal of ambient intelligence and humanized computing2021
T-spherical fuzzy power aggregation operators and their applications in multi-attribute decision making.
Article in Journal of ambient intelligence and humanized computing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
- Solution of supply chain management problems using rough t spherical fuzzy set lower and upper approximation spaces.Scientific reports · 2026Article
- Evaluating blockchain-based waste management investments in smart cities using a multi-criteria decision support framework.Scientific reports · 2026Article
- Decision support system based on AHP and PROMETHEE under rough pythagorean fuzzy set information for selection of basketball team.Scientific reports · 2025Article
- Multi attribute group decision-making based on quasirung orthopair fuzzy Frank aggregation operators for optimal vehicle selection.Scientific reports · 2025Article
- Integrating decision tools for efficient operations management through innovative approaches.Scientific reports · 2025Article
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- MCGDM approach based on (p, q, r)-spherical fuzzy Frank aggregation operators: applications in the categorization of renewable energy sources.Scientific reports · 2024Article
- Article
- An interaction and feedback mechanism-based group decision-making for emergency medical supplies supplier selection using T-spherical fuzzy information.Scientific reports · 2023Article
- Multiple criteria decision analytic methods in management with T-spherical fuzzy information.Artificial intelligence review · 2023Article
- Prioritization of thermal energy techniques by employing picture fuzzy soft power average and geometric aggregation operators.Scientific reports · 2023Article
- Complex T-spherical fuzzy Dombi aggregation operators and their applications in multiple-criteria decision-making.Complex & intelligent systems · 2021Article
- Vague data analysis using neutrosophic Jarque-Bera test.PloS one · 2021Article
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The paper aims to present the concept of power aggregation operators for the T-spherical fuzzy sets (T-SFSs). T-SFS is a powerful concept, with four membership functions denoting membership, abstinence, non-membership and refusal degree, to deal with the uncertain information as compared to other existing fuzzy sets. On the other hand, the relationship between the different pairs of the attributes are well recorded in terms of power operators. Thus, keeping these advantages of T-SFSs and power operator, the objective of this work is to define several weighted averaging and geometric power aggregation operators. The stated operators named as T-spherical fuzzy weighted, ordered weighted, hybrid averaging and geometric operators for the collection of the T-SFSs. The various properties and the special cases of them are also derived. Further, the consequences of proposed new power aggregation operators are studied in view of some constraints. Finally, a multiple attribute decision making algorithm, based on the proposed operators, is established to solve the problems with uncertain information and illustrate with numerical examples. A comparative study, superiority analysis and discussion of the proposed approach are furnished to confirm the approach.
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