Triangular fuzzy merec (TFMEREC) and its applications in multi criteria decision making
This paper presents a proposed method, Triangular Fuzzy MEREC (TFMEREC), which combines Triangular Fuzzy Numbers (TFNs) and Method Based on The Removal Effects of Criteria (MEREC). This integration aims to create an efficient implementation process that provides an efficient solution for complex MCD...
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| Format: | Article |
| Language: | English |
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Ayandegan Institute of Higher Education,
2024-12-01
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| Series: | Journal of Fuzzy Extension and Applications |
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| Online Access: | https://www.journal-fea.com/article_206242_cecc86384c1b45f480d3af55d9507fcf.pdf |
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| author | Qaiyyum Hafizi Hasnan Zahari Rodzi Nor Hanimah Kamis Faisal Al-Sharqi Ashraf Al-Quran Mamika Ujianita Romdhini |
| author_facet | Qaiyyum Hafizi Hasnan Zahari Rodzi Nor Hanimah Kamis Faisal Al-Sharqi Ashraf Al-Quran Mamika Ujianita Romdhini |
| author_sort | Qaiyyum Hafizi Hasnan |
| collection | DOAJ |
| description | This paper presents a proposed method, Triangular Fuzzy MEREC (TFMEREC), which combines Triangular Fuzzy Numbers (TFNs) and Method Based on The Removal Effects of Criteria (MEREC). This integration aims to create an efficient implementation process that provides an efficient solution for complex MCDM issues, focusing on assessing halal suppliers. To demonstrate the feasibility and effectiveness of TFMEREC, this study will use an illustrative example to employ three different normalization methods with three different distance methods. Key findings from this research show that TFMEREC improves the accuracy and reliability of criteria weight determination. TFMEREC gives decision-makers more accurate weights, allowing for more informed decision-making processes. Furthermore, the sensitivity analysis provides insights into the impact of various normalization and distance methods on overall results, which improves the method's applicability and reliability. The TFMEREC method is a promising approach for dealing with imprecise and uncertain information in decision-making contexts, with potential applications in various domains. Overall, the findings underline the importance of methodological breakthroughs in enhancing decision-making processes, and the study is relevant to both experts and researchers. |
| format | Article |
| id | doaj-art-0e2864e5be2748d49a2a0811cf9c2f30 |
| institution | Kabale University |
| issn | 2783-1442 2717-3453 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Ayandegan Institute of Higher Education, |
| record_format | Article |
| series | Journal of Fuzzy Extension and Applications |
| spelling | doaj-art-0e2864e5be2748d49a2a0811cf9c2f302025-01-30T15:07:17ZengAyandegan Institute of Higher Education,Journal of Fuzzy Extension and Applications2783-14422717-34532024-12-015450553210.22105/jfea.2024.446557.1399206242Triangular fuzzy merec (TFMEREC) and its applications in multi criteria decision makingQaiyyum Hafizi Hasnan0Zahari Rodzi1Nor Hanimah Kamis2Faisal Al-Sharqi3Ashraf Al-Quran4Mamika Ujianita Romdhini5College of Computing, Informatics and Mathematics, UiTM Cawangan Negeri Sembilan, Kampus Seremban, 72000 Negeri Sembilan, Malaysia.College of Computing, Informatics and Mathematics, UiTM Cawangan Negeri Sembilan, Kampus Seremban, 72000 Negeri Sembilan, Malaysia.College of Computing, Informatics and Mathematics, UiTM Cawangan Selangor, Kampus Shah Alam, 40450 Shah Alam, Selangor Darul Ehsan Malaysia.Department of Mathematics, Faculty of Education for Pure Sciences, University Of Anbar, Ramadi, Anbar, Iraq.Department of Basic Sciences, Preparatory Year, King Faisal University, Al-Ahsa 31982, Saudi Arabia.Department of Mathematics, Faculty of Mathematics and Natural Science, Universities Mataram, Mataram, 83125, Indonesia.This paper presents a proposed method, Triangular Fuzzy MEREC (TFMEREC), which combines Triangular Fuzzy Numbers (TFNs) and Method Based on The Removal Effects of Criteria (MEREC). This integration aims to create an efficient implementation process that provides an efficient solution for complex MCDM issues, focusing on assessing halal suppliers. To demonstrate the feasibility and effectiveness of TFMEREC, this study will use an illustrative example to employ three different normalization methods with three different distance methods. Key findings from this research show that TFMEREC improves the accuracy and reliability of criteria weight determination. TFMEREC gives decision-makers more accurate weights, allowing for more informed decision-making processes. Furthermore, the sensitivity analysis provides insights into the impact of various normalization and distance methods on overall results, which improves the method's applicability and reliability. The TFMEREC method is a promising approach for dealing with imprecise and uncertain information in decision-making contexts, with potential applications in various domains. Overall, the findings underline the importance of methodological breakthroughs in enhancing decision-making processes, and the study is relevant to both experts and researchers.https://www.journal-fea.com/article_206242_cecc86384c1b45f480d3af55d9507fcf.pdfmulti-criteria decision-makingobjective weighing modelmerecuncertainty and vaguenesstriangular fuzzy numbershalal supplier selection |
| spellingShingle | Qaiyyum Hafizi Hasnan Zahari Rodzi Nor Hanimah Kamis Faisal Al-Sharqi Ashraf Al-Quran Mamika Ujianita Romdhini Triangular fuzzy merec (TFMEREC) and its applications in multi criteria decision making Journal of Fuzzy Extension and Applications multi-criteria decision-making objective weighing model merec uncertainty and vagueness triangular fuzzy numbers halal supplier selection |
| title | Triangular fuzzy merec (TFMEREC) and its applications in multi criteria decision making |
| title_full | Triangular fuzzy merec (TFMEREC) and its applications in multi criteria decision making |
| title_fullStr | Triangular fuzzy merec (TFMEREC) and its applications in multi criteria decision making |
| title_full_unstemmed | Triangular fuzzy merec (TFMEREC) and its applications in multi criteria decision making |
| title_short | Triangular fuzzy merec (TFMEREC) and its applications in multi criteria decision making |
| title_sort | triangular fuzzy merec tfmerec and its applications in multi criteria decision making |
| topic | multi-criteria decision-making objective weighing model merec uncertainty and vagueness triangular fuzzy numbers halal supplier selection |
| url | https://www.journal-fea.com/article_206242_cecc86384c1b45f480d3af55d9507fcf.pdf |
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