Multiple attribute decision-making based on Fermatean fuzzy number
Multiple attribute decision-making concerns with production significant in our everyday life. To resolve the problems that decision makers might feel uncertain to choose the suitable assessment values among several conceivable ideals in the procedure. Fuzzy model, and its extensions are extensively...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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AIMS Press
2023-03-01
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| Series: | AIMS Mathematics |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/math.2023550?viewType=HTML |
| _version_ | 1827986542875901952 |
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| author | Aliya Fahmi Fazli Amin Sayed M Eldin Meshal Shutaywi Wejdan Deebani Saleh Al Sulaie |
| author_facet | Aliya Fahmi Fazli Amin Sayed M Eldin Meshal Shutaywi Wejdan Deebani Saleh Al Sulaie |
| author_sort | Aliya Fahmi |
| collection | DOAJ |
| description | Multiple attribute decision-making concerns with production significant in our everyday life. To resolve the problems that decision makers might feel uncertain to choose the suitable assessment values among several conceivable ideals in the procedure. Fuzzy model, and its extensions are extensively applied to MADM problems. In this study, we proposed an innovative Schweizer-Sklar t-norm and t-conorm operation of FFNs, Fermatean fuzzy Schweizer-Sklar operators. They were used as a framework for the development of an MCDM method, which was illustrated by an example to demonstrate its effectiveness and applicability. Finally, a complete limitation study, rational examination, and comparative analysis of the presented approaches has been exhibited, we originate that our technique is superior in offering DMs a better decision-making choice and reducing the restrictions on stating individual partialities. |
| first_indexed | 2024-04-09T23:33:01Z |
| format | Article |
| id | doaj.art-7b26c32d7c724928acf205a160365e07 |
| institution | Directory Open Access Journal |
| issn | 2473-6988 |
| language | English |
| last_indexed | 2024-04-09T23:33:01Z |
| publishDate | 2023-03-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | AIMS Mathematics |
| spelling | doaj.art-7b26c32d7c724928acf205a160365e072023-03-21T01:35:41ZengAIMS PressAIMS Mathematics2473-69882023-03-0185108351086310.3934/math.2023550Multiple attribute decision-making based on Fermatean fuzzy numberAliya Fahmi0Fazli Amin1Sayed M Eldin 2Meshal Shutaywi3Wejdan Deebani 4Saleh Al Sulaie51. Department of Mathematics, University of Faisalabad, Faisalabad, Pakistan2. Department of Mathematics and Statistics Hazara University Mansehra, Pakistan3. Center of Research, Faculty of Engineering, Future University in Egypt New Cairo 11835, Egypt4. Department of Mathematics, College of Science & Arts, King Abdul Aziz University, Rabigh, Saudi Arabia5. Department of Mathematics, College of Science & Arts, King Abdul Aziz University, Rabigh, Saudi Arabia6. Department of Industrial Engineering, College of Engineering in Al-Qunfudah, Umm Al-Qura University, Makkah 21955, Saudi ArabiaMultiple attribute decision-making concerns with production significant in our everyday life. To resolve the problems that decision makers might feel uncertain to choose the suitable assessment values among several conceivable ideals in the procedure. Fuzzy model, and its extensions are extensively applied to MADM problems. In this study, we proposed an innovative Schweizer-Sklar t-norm and t-conorm operation of FFNs, Fermatean fuzzy Schweizer-Sklar operators. They were used as a framework for the development of an MCDM method, which was illustrated by an example to demonstrate its effectiveness and applicability. Finally, a complete limitation study, rational examination, and comparative analysis of the presented approaches has been exhibited, we originate that our technique is superior in offering DMs a better decision-making choice and reducing the restrictions on stating individual partialities.https://www.aimspress.com/article/doi/10.3934/math.2023550?viewType=HTMLdecision makingschweizer-sklar t-norm and t-conormaggregation operatorsfermatean fuzzy numbermadm |
| spellingShingle | Aliya Fahmi Fazli Amin Sayed M Eldin Meshal Shutaywi Wejdan Deebani Saleh Al Sulaie Multiple attribute decision-making based on Fermatean fuzzy number AIMS Mathematics decision making schweizer-sklar t-norm and t-conorm aggregation operators fermatean fuzzy number madm |
| title | Multiple attribute decision-making based on Fermatean fuzzy number |
| title_full | Multiple attribute decision-making based on Fermatean fuzzy number |
| title_fullStr | Multiple attribute decision-making based on Fermatean fuzzy number |
| title_full_unstemmed | Multiple attribute decision-making based on Fermatean fuzzy number |
| title_short | Multiple attribute decision-making based on Fermatean fuzzy number |
| title_sort | multiple attribute decision making based on fermatean fuzzy number |
| topic | decision making schweizer-sklar t-norm and t-conorm aggregation operators fermatean fuzzy number madm |
| url | https://www.aimspress.com/article/doi/10.3934/math.2023550?viewType=HTML |
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