Decision-making for solar panel selection using Sugeno-Weber triangular norm-based on q-rung orthopair fuzzy information
Solar power is an alternative energy derived from the sun. Solar power is more environmentally friendly and sustainable than burning fossil fuels which releases harmful greenhouse gas emissions. Therefore, this study aims to evaluate a reliable solar panel based on certain characteristics by incorpo...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-01-01
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| Series: | Frontiers in Energy Research |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1293623/full |
| _version_ | 1797354439406780416 |
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| author | Yibo Wang Abrar Hussain Shi Yin Kifayat Ullah Darko Božanić |
| author_facet | Yibo Wang Abrar Hussain Shi Yin Kifayat Ullah Darko Božanić |
| author_sort | Yibo Wang |
| collection | DOAJ |
| description | Solar power is an alternative energy derived from the sun. Solar power is more environmentally friendly and sustainable than burning fossil fuels which releases harmful greenhouse gas emissions. Therefore, this study aims to evaluate a reliable solar panel based on certain characteristics by incorporating the theory of the decision-making process. To serve this goal, this study discusses a well-known aggregation model of the q-rung orthopair fuzzy set, which is a broader and flexible environment of fuzzy sets and intuitionistic fuzzy sets used to handle unpredictable information of human opinions. The key components of this article are to demonstrate some realistic operations of Sugeno–Weber triangular norms considering q-rung orthopair fuzzy information. These operations provide authentic estimated information during the decision-making process. We developed a class of new aggregation operators using the q-rung orthopair fuzzy information system, including q-rung orthopair fuzzy Sugeno–Weber power weighted average and q-rung orthopair fuzzy Sugeno–Weber power weighted geometric operators. Some realistic characteristics and special cases are also demonstrated to show the compatibility of the proposed methodologies. An innovative approach to the multi-attribute decision-making problem is utilized to resolve different real-life applications considering various criteria or attributes. To show the intensity and applicability of the proposed approaches, we explored a numerical example for efficient solar panel selection based on the proposed methodologies. Furthermore, we presented a comprehensive comparison technique to compare the findings of the existing methods with the proposed aggregation approaches. Finally, the proposed research work is summarized, and the future prospects are discussed. |
| first_indexed | 2024-03-08T13:50:25Z |
| format | Article |
| id | doaj.art-8b51205c7f95431992613b0aae87dff2 |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-03-08T13:50:25Z |
| publishDate | 2024-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-8b51205c7f95431992613b0aae87dff22024-01-16T04:39:03ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2024-01-011110.3389/fenrg.2023.12936231293623Decision-making for solar panel selection using Sugeno-Weber triangular norm-based on q-rung orthopair fuzzy informationYibo Wang0Abrar Hussain1Shi Yin2Kifayat Ullah3Darko Božanić4School of Business Administration, Northeastern University, Shenyang, ChinaDepartment of Mathematics, Riphah International University (Lahore Campus), Lahore, PakistanCollege of Economics and Management, Hebei Agricultural University, Baoding, ChinaDepartment of Mathematics, Riphah International University (Lahore Campus), Lahore, PakistanMilitary Academy, University of Defence in Belgrade, Belgrade, SerbiaSolar power is an alternative energy derived from the sun. Solar power is more environmentally friendly and sustainable than burning fossil fuels which releases harmful greenhouse gas emissions. Therefore, this study aims to evaluate a reliable solar panel based on certain characteristics by incorporating the theory of the decision-making process. To serve this goal, this study discusses a well-known aggregation model of the q-rung orthopair fuzzy set, which is a broader and flexible environment of fuzzy sets and intuitionistic fuzzy sets used to handle unpredictable information of human opinions. The key components of this article are to demonstrate some realistic operations of Sugeno–Weber triangular norms considering q-rung orthopair fuzzy information. These operations provide authentic estimated information during the decision-making process. We developed a class of new aggregation operators using the q-rung orthopair fuzzy information system, including q-rung orthopair fuzzy Sugeno–Weber power weighted average and q-rung orthopair fuzzy Sugeno–Weber power weighted geometric operators. Some realistic characteristics and special cases are also demonstrated to show the compatibility of the proposed methodologies. An innovative approach to the multi-attribute decision-making problem is utilized to resolve different real-life applications considering various criteria or attributes. To show the intensity and applicability of the proposed approaches, we explored a numerical example for efficient solar panel selection based on the proposed methodologies. Furthermore, we presented a comprehensive comparison technique to compare the findings of the existing methods with the proposed aggregation approaches. Finally, the proposed research work is summarized, and the future prospects are discussed.https://www.frontiersin.org/articles/10.3389/fenrg.2023.1293623/fullq-rung orthopair fuzzy valuesaggregation operatorsSugeno–Weber aggregation toolsrenewable solar powerdecision support system |
| spellingShingle | Yibo Wang Abrar Hussain Shi Yin Kifayat Ullah Darko Božanić Decision-making for solar panel selection using Sugeno-Weber triangular norm-based on q-rung orthopair fuzzy information Frontiers in Energy Research q-rung orthopair fuzzy values aggregation operators Sugeno–Weber aggregation tools renewable solar power decision support system |
| title | Decision-making for solar panel selection using Sugeno-Weber triangular norm-based on q-rung orthopair fuzzy information |
| title_full | Decision-making for solar panel selection using Sugeno-Weber triangular norm-based on q-rung orthopair fuzzy information |
| title_fullStr | Decision-making for solar panel selection using Sugeno-Weber triangular norm-based on q-rung orthopair fuzzy information |
| title_full_unstemmed | Decision-making for solar panel selection using Sugeno-Weber triangular norm-based on q-rung orthopair fuzzy information |
| title_short | Decision-making for solar panel selection using Sugeno-Weber triangular norm-based on q-rung orthopair fuzzy information |
| title_sort | decision making for solar panel selection using sugeno weber triangular norm based on q rung orthopair fuzzy information |
| topic | q-rung orthopair fuzzy values aggregation operators Sugeno–Weber aggregation tools renewable solar power decision support system |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2023.1293623/full |
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