Complex linear Diophantine fuzzy Dombi prioritized operators-based MULTIMOORA approach with applications to sustainable energy planning
Abstract Sustainable energy planning is a critical challenge, particularly in regions with complex decision-making environments and uncertain data. The selection of an optimal energy source requires robust methodologies that can effectively handle multi-criteria decision-making (MCDM) under uncertai...
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Nature Portfolio
2025-08-01
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| Online Access: | https://doi.org/10.1038/s41598-025-05710-w |
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| author | Abdul Wahab Mustafa Zia Bashir Jawad Ali Muhammed I. Syam |
| author_facet | Abdul Wahab Mustafa Zia Bashir Jawad Ali Muhammed I. Syam |
| author_sort | Abdul Wahab Mustafa |
| collection | DOAJ |
| description | Abstract Sustainable energy planning is a critical challenge, particularly in regions with complex decision-making environments and uncertain data. The selection of an optimal energy source requires robust methodologies that can effectively handle multi-criteria decision-making (MCDM) under uncertainty. This study explores the application of the multiple objective optimization on the basis of ratio analysis plus full multiplicative form (MULTIMOORA) method by incorporating the concept of the complex linear Diophantine fuzzy ( $$C_pLD_yF$$ ) set. The $$C_pLD_yF$$ set extends the conventional linear Diophantine fuzzy set by introducing a phase component, thereby enhancing the system’s adaptability. To examine the interrelationships among multiple $$C_pLD_yF$$ numbers, we develop the $$C_pLD_yF$$ Dombi prioritized averaging ( $$C_pLD_yFDPA$$ ) and the $$C_pLD_yF$$ Dombi prioritized geometric ( $$C_pLD_yFDPG$$ ) aggregation operators, along with their weighted versions, based on the proposed Dombi operational laws. The fundamental properties of these aggregation operators are systematically analyzed. The developed $$C_pLD_yF$$ operators are then integrated into the MULTIMOORA method to address MCDM problems. To illustrate the practical effectiveness of the proposed framework, a case study is conducted to determine a sustainable energy source for Gwadar, Pakistan, utilizing $$C_pLD_yF$$ information. Furthermore, comparative analyses are performed against existing methodologies to validate the applicability and accuracy of the proposed approach. |
| format | Article |
| id | doaj-art-3a19948e074c4d2d817e1c2eba8682a1 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-08-01 |
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| spelling | doaj-art-3a19948e074c4d2d817e1c2eba8682a12025-08-20T03:45:59ZengNature PortfolioScientific Reports2045-23222025-08-0115113610.1038/s41598-025-05710-wComplex linear Diophantine fuzzy Dombi prioritized operators-based MULTIMOORA approach with applications to sustainable energy planningAbdul Wahab Mustafa0Zia Bashir1Jawad Ali2Muhammed I. Syam3Department of Mathematics, Quaid-i-Azam UniversityDepartment of Mathematics, Quaid-i-Azam UniversityInstitute of Numerical Sciences, Kohat University of Science and TechnologyDepartment of Mathematical Sciences, United Arab Emirates UniversityAbstract Sustainable energy planning is a critical challenge, particularly in regions with complex decision-making environments and uncertain data. The selection of an optimal energy source requires robust methodologies that can effectively handle multi-criteria decision-making (MCDM) under uncertainty. This study explores the application of the multiple objective optimization on the basis of ratio analysis plus full multiplicative form (MULTIMOORA) method by incorporating the concept of the complex linear Diophantine fuzzy ( $$C_pLD_yF$$ ) set. The $$C_pLD_yF$$ set extends the conventional linear Diophantine fuzzy set by introducing a phase component, thereby enhancing the system’s adaptability. To examine the interrelationships among multiple $$C_pLD_yF$$ numbers, we develop the $$C_pLD_yF$$ Dombi prioritized averaging ( $$C_pLD_yFDPA$$ ) and the $$C_pLD_yF$$ Dombi prioritized geometric ( $$C_pLD_yFDPG$$ ) aggregation operators, along with their weighted versions, based on the proposed Dombi operational laws. The fundamental properties of these aggregation operators are systematically analyzed. The developed $$C_pLD_yF$$ operators are then integrated into the MULTIMOORA method to address MCDM problems. To illustrate the practical effectiveness of the proposed framework, a case study is conducted to determine a sustainable energy source for Gwadar, Pakistan, utilizing $$C_pLD_yF$$ information. Furthermore, comparative analyses are performed against existing methodologies to validate the applicability and accuracy of the proposed approach.https://doi.org/10.1038/s41598-025-05710-wComplex linear Diophantine fuzzy setDombi operationsPrioritized operatorsSustainable energy sourceDecision-makingMULTIMOORA method |
| spellingShingle | Abdul Wahab Mustafa Zia Bashir Jawad Ali Muhammed I. Syam Complex linear Diophantine fuzzy Dombi prioritized operators-based MULTIMOORA approach with applications to sustainable energy planning Scientific Reports Complex linear Diophantine fuzzy set Dombi operations Prioritized operators Sustainable energy source Decision-making MULTIMOORA method |
| title | Complex linear Diophantine fuzzy Dombi prioritized operators-based MULTIMOORA approach with applications to sustainable energy planning |
| title_full | Complex linear Diophantine fuzzy Dombi prioritized operators-based MULTIMOORA approach with applications to sustainable energy planning |
| title_fullStr | Complex linear Diophantine fuzzy Dombi prioritized operators-based MULTIMOORA approach with applications to sustainable energy planning |
| title_full_unstemmed | Complex linear Diophantine fuzzy Dombi prioritized operators-based MULTIMOORA approach with applications to sustainable energy planning |
| title_short | Complex linear Diophantine fuzzy Dombi prioritized operators-based MULTIMOORA approach with applications to sustainable energy planning |
| title_sort | complex linear diophantine fuzzy dombi prioritized operators based multimoora approach with applications to sustainable energy planning |
| topic | Complex linear Diophantine fuzzy set Dombi operations Prioritized operators Sustainable energy source Decision-making MULTIMOORA method |
| url | https://doi.org/10.1038/s41598-025-05710-w |
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