ArticleNeural computing & applications2022
Interval-valued fermatean fuzzy sets with multi-criteria weighted aggregated sum product assessment-based decision analysis framework.
Article in Neural computing & applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- An uncertainty-aware ergonomic risk assessment framework using Interval-Valued Fermatean Fuzzy Sets and hybrid MCDM.Scientific reports · 2026Article
- A new approach to MADM problem using interval-valued hesitant Fermatean fuzzy Hamacher operators and statistical variance.Scientific reports · 2025Article
- A circular economy based nonlinear corrugated waste management system using Fermatean bipolar hesitant fuzzy logic.Scientific reports · 2025Article
- Assessing the adoption barriers for the AI in food supply chain finance applying a hybrid interval-valued Fermatean fuzzy CRITIC-ARAS model.Scientific reports · 2024Article
- Article
- A new multi-attribute group decision-making method based on Einstein Bonferroni operators under interval-valued Fermatean hesitant fuzzy environment.Scientific reports · 2024Article
- Complex Fermatean fuzzy extended TOPSIS method and its applications in decision making.Heliyon · 2023Review
- Multi-attribute decision-making for electronic waste recycling using interval-valued Fermatean fuzzy Hamacher aggregation operators.Granular computing · 2023Article
- Fermatean fuzzy copula aggregation operators and similarity measures-based complex proportional assessment approach for renewable energy source selection.Complex & intelligent systems · 2022Article
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2 authors.
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Abstract
Fermatean fuzzy set, a generalization of the fuzzy set, is a significant way to tackle the complex uncertain information that arises in decision-analysis procedure and thus can be employed on a wider range of applications. Due to the inadequacy in accessible data, it is hard for decision experts to exactly define the belongingness grade (BG) and non-belongingness grade (NG) by crisp values. In such a situation, interval BG and interval NG are good selections. Thus, the aim of the study is to develop the doctrine of interval-valued Fermatean fuzzy sets (IVFFSs) and their fundamental operations. Next, the score and accuracy functions are proposed for interval-valued Fermatean fuzzy numbers (IVFFNs). Two aggregation operators (AOs) are developed for aggregating the IVFFSs information and discussed some axioms. Further, a weighted aggregated sum product assessment method for IVFFSs using developed AOs is introduced to handle the uncertain multi-criteria decision analysis problems. A case study of e-waste recycling partner selection is also considered to elucidate the feasibility and efficacy of the introduced framework. Finally, sensitivity and comparative analyses are given to elucidate the reliability and robustness of the obtained results.
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