ArticleScientific reports2025
Decision based algorithm for circular pythagorean fuzzy framework and advanced petroleum exploration methods.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Prioritized Aczel-Alsina aggregation operators under p, q-quasirung orthopair fuzzy environment for sustainable supplier selection in new energy vehicle industry.Scientific reports · 2025Article
- Decision support system based on AHP and PROMETHEE under rough pythagorean fuzzy set information for selection of basketball team.Scientific reports · 2025Article
- Optimizing short video strategies for intelligent communication in university campus culture construction using circular intuitionistic fuzzy COCOFISO modeling.Scientific reports · 2025Article
- Advancement in real time football analysis using fuzzy based decision-making of the WASPAS method.Scientific reports · 2025Article
- Hybrid machine learning techniques for knowledge extraction in communication networks and advanced decision based complex q-Rung orthopair fuzzy frameworks.Scientific reports · 2025Article
- Impact of massive open online courses in higher education using machine learning and decision based fuzzy frank power aggregation operators models.Scientific reports · 2025Article
- Critical dimensions in strengthening education and instructor training using fuzzy based decision algorithm and CRITIC WASPAS method.Scientific reports · 2025Article
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5 authors.
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Abstract
This presentation articulates different terminologies of fuzzy mathematical approaches and decision-making techniques for handling vague-type human opinions. To achieve this purpose, we explore a novel approach of circular pythagorean fuzzy set (Cr-PyFS), which is an extended framework of intuitionistic and pythagorean fuzzy sets. A Cr-PyFS expresses expert opinion with an additional term radius of a circle among an element's membership grade and non-membership grade. Moreover, we also illustrate the theory of Hamy mean (HM) models to define correlation among different input arguments and preferences. By combining theories of HM models and Cr-PyFSs, we derived new mathematical methodologies, including circular pythagorean fuzzy HM (Cr-PyFHM), circular pythagorean fuzzy weighted HM (Cr-PyFWHM), circular pythagorean fuzzy Dual HM (Cr-PyFDHM) and circular pythagorean fuzzy weighted Dual HM (Cr-PyFDHM) operators. All aggregation operators (AOs) are verified through different mathematical properties and special cases. An intelligent decision algorithm of the multi-attribute decision-making (MADM) problem is modified considering circular pythagorean fuzzy information. To show the reliability and effectiveness of developed approaches, we discussed an application related to the exploration and production of the petroleum industry. An experimental case study is resolved using derived mathematical approaches and decision-making terminologies. The setting of different parametric variables in sensitivity analysis verifies the advantages and reliability of designed approaches. A comparison approach is conducted to compare the results of pioneered approaches with existing AOs.
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