Waste minimization strategies for environmental sustainability analysis of MABAC based on schweizer-sklar prioritized approach for circular bipolar fuzzy systems
Abstract Circular bipolar complex fuzzy sets are more efficient to cope with awkward and vague data, because it is a modified technique of various existing tools, for instance, fuzzy sets and their extensions, bipolar fuzzy sets and their extensions, and circular fuzzy sets with their extensions. Th...
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2025-07-01
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| author | Khumara Ashraf Zeeshan Ali Chiranjibe Jana Adel Fahad Alrasheedi Nikola Ivković Domagoj Tuličić |
| author_facet | Khumara Ashraf Zeeshan Ali Chiranjibe Jana Adel Fahad Alrasheedi Nikola Ivković Domagoj Tuličić |
| author_sort | Khumara Ashraf |
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| description | Abstract Circular bipolar complex fuzzy sets are more efficient to cope with awkward and vague data, because it is a modified technique of various existing tools, for instance, fuzzy sets and their extensions, bipolar fuzzy sets and their extensions, and circular fuzzy sets with their extensions. The main theme of this manuscript is to develop the Schweizer-Sklar operational laws for circular bipolar complex fuzzy information because these laws will be used in the construction of the prioritized aggregation operators for circular bipolar complex fuzzy sets. Therefore, after the analysis of the Schweizer-Sklar operational, we aim to derive the model of the Schweizer-Sklar prioritized averaging operator, Schweizer-Sklar prioritized weighted averaging operator, Schweizer-Sklar prioritized geometric operator, and Schweizer-Sklar prioritized weighted geometric operator for circular bipolar complex fuzzy sets. Thus, we use these operators for the construction of the multi-attributive border approximation area comparison network and the evaluation of the multi-attribute decision-making models. Further, the application of waste minimization strategies for environmental sustainability is very effective and is used to reduce the environmental impact of waste generated during disposal, production, and consumption. The key goal of this technique is to monitor the design systems, behavior, and procedures that reduce pollution, promote sustainable practice, and conserve resources in numerous communities and organizations. The key theme of this article is to analyze the problem of waste minimization strategies for environmental sustainability based on invented models. Finally, we demonstrate numerical examples based on decision-making techniques for addressing the comparison between proposed data with various existing models to describe the variety and worth of the designed approaches. |
| format | Article |
| id | doaj-art-14e1e56007aa44b8b9ac7ac7f684a9c5 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-14e1e56007aa44b8b9ac7ac7f684a9c52025-08-20T03:38:11ZengNature PortfolioScientific Reports2045-23222025-07-0115112410.1038/s41598-025-06226-zWaste minimization strategies for environmental sustainability analysis of MABAC based on schweizer-sklar prioritized approach for circular bipolar fuzzy systemsKhumara Ashraf0Zeeshan Ali1Chiranjibe Jana2Adel Fahad Alrasheedi3Nikola Ivković4Domagoj Tuličić5Department of Mathematics and Statistics, Riphah International UniversityDepartment of Information Management, National Yunlin University of Science and TechnologySaveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Tamil NaduDepartment of Statistics and Operations Research, College of Science, King Saud UniversityFaculty of Organization and Informatics, University of ZagrebFaculty of Organization and Informatics, University of ZagrebAbstract Circular bipolar complex fuzzy sets are more efficient to cope with awkward and vague data, because it is a modified technique of various existing tools, for instance, fuzzy sets and their extensions, bipolar fuzzy sets and their extensions, and circular fuzzy sets with their extensions. The main theme of this manuscript is to develop the Schweizer-Sklar operational laws for circular bipolar complex fuzzy information because these laws will be used in the construction of the prioritized aggregation operators for circular bipolar complex fuzzy sets. Therefore, after the analysis of the Schweizer-Sklar operational, we aim to derive the model of the Schweizer-Sklar prioritized averaging operator, Schweizer-Sklar prioritized weighted averaging operator, Schweizer-Sklar prioritized geometric operator, and Schweizer-Sklar prioritized weighted geometric operator for circular bipolar complex fuzzy sets. Thus, we use these operators for the construction of the multi-attributive border approximation area comparison network and the evaluation of the multi-attribute decision-making models. Further, the application of waste minimization strategies for environmental sustainability is very effective and is used to reduce the environmental impact of waste generated during disposal, production, and consumption. The key goal of this technique is to monitor the design systems, behavior, and procedures that reduce pollution, promote sustainable practice, and conserve resources in numerous communities and organizations. The key theme of this article is to analyze the problem of waste minimization strategies for environmental sustainability based on invented models. Finally, we demonstrate numerical examples based on decision-making techniques for addressing the comparison between proposed data with various existing models to describe the variety and worth of the designed approaches.https://doi.org/10.1038/s41598-025-06226-zAggregation operatorsDecision-making modelsFuzzy logicsMulti-attributive border approximation area comparison networksWaste minimizing strategy |
| spellingShingle | Khumara Ashraf Zeeshan Ali Chiranjibe Jana Adel Fahad Alrasheedi Nikola Ivković Domagoj Tuličić Waste minimization strategies for environmental sustainability analysis of MABAC based on schweizer-sklar prioritized approach for circular bipolar fuzzy systems Scientific Reports Aggregation operators Decision-making models Fuzzy logics Multi-attributive border approximation area comparison networks Waste minimizing strategy |
| title | Waste minimization strategies for environmental sustainability analysis of MABAC based on schweizer-sklar prioritized approach for circular bipolar fuzzy systems |
| title_full | Waste minimization strategies for environmental sustainability analysis of MABAC based on schweizer-sklar prioritized approach for circular bipolar fuzzy systems |
| title_fullStr | Waste minimization strategies for environmental sustainability analysis of MABAC based on schweizer-sklar prioritized approach for circular bipolar fuzzy systems |
| title_full_unstemmed | Waste minimization strategies for environmental sustainability analysis of MABAC based on schweizer-sklar prioritized approach for circular bipolar fuzzy systems |
| title_short | Waste minimization strategies for environmental sustainability analysis of MABAC based on schweizer-sklar prioritized approach for circular bipolar fuzzy systems |
| title_sort | waste minimization strategies for environmental sustainability analysis of mabac based on schweizer sklar prioritized approach for circular bipolar fuzzy systems |
| topic | Aggregation operators Decision-making models Fuzzy logics Multi-attributive border approximation area comparison networks Waste minimizing strategy |
| url | https://doi.org/10.1038/s41598-025-06226-z |
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