Fuzzy weak autocatalytic set for decision making and its application to the project manager selection
In decision-making procedures, the comparison of alternatives is often necessary to determine the most suitable option among a set of choices. One commonly used approach is pairwise comparison, where each alternative is compared to every other alternative based on certain criteria. FWACS method offe...
| الحاوية / القاعدة: | International Journal of Mathematics in Operational Research |
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| المؤلف الرئيسي: | |
| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
Inderscience Publishers
2025
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| الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85218914221&doi=10.1504%2fIJMOR.2025.144550&partnerID=40&md5=5c1a489ca2e780fdbf2525a04ab10454 |
| id |
Mamat S.S.; Awang S.R.; Ahmad T. |
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| spelling |
Mamat S.S.; Awang S.R.; Ahmad T. 2-s2.0-85218914221 Fuzzy weak autocatalytic set for decision making and its application to the project manager selection 2025 International Journal of Mathematics in Operational Research 30 1 10.1504/IJMOR.2025.144550 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85218914221&doi=10.1504%2fIJMOR.2025.144550&partnerID=40&md5=5c1a489ca2e780fdbf2525a04ab10454 In decision-making procedures, the comparison of alternatives is often necessary to determine the most suitable option among a set of choices. One commonly used approach is pairwise comparison, where each alternative is compared to every other alternative based on certain criteria. FWACS method offers a way to represent the pairwise comparisons of alternatives as a directed graph with fuzzy edges. The FWACS is a technique used to address problems involving multiple criteria. In this study, a new ranking approach using FWACS is implemented on a previously published MCDM problem. The purpose of this implementation is to showcase the effectiveness of the FWACS method in addressing decision problems that involve multiple criteria. Copyright © 2025 Inderscience Enterprises Ltd. Inderscience Publishers 17575850 English Article |
| author |
2-s2.0-85218914221 |
| spellingShingle |
2-s2.0-85218914221 Fuzzy weak autocatalytic set for decision making and its application to the project manager selection |
| author_facet |
2-s2.0-85218914221 |
| author_sort |
2-s2.0-85218914221 |
| title |
Fuzzy weak autocatalytic set for decision making and its application to the project manager selection |
| title_short |
Fuzzy weak autocatalytic set for decision making and its application to the project manager selection |
| title_full |
Fuzzy weak autocatalytic set for decision making and its application to the project manager selection |
| title_fullStr |
Fuzzy weak autocatalytic set for decision making and its application to the project manager selection |
| title_full_unstemmed |
Fuzzy weak autocatalytic set for decision making and its application to the project manager selection |
| title_sort |
Fuzzy weak autocatalytic set for decision making and its application to the project manager selection |
| publishDate |
2025 |
| container_title |
International Journal of Mathematics in Operational Research |
| container_volume |
30 |
| container_issue |
1 |
| doi_str_mv |
10.1504/IJMOR.2025.144550 |
| url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85218914221&doi=10.1504%2fIJMOR.2025.144550&partnerID=40&md5=5c1a489ca2e780fdbf2525a04ab10454 |
| description |
In decision-making procedures, the comparison of alternatives is often necessary to determine the most suitable option among a set of choices. One commonly used approach is pairwise comparison, where each alternative is compared to every other alternative based on certain criteria. FWACS method offers a way to represent the pairwise comparisons of alternatives as a directed graph with fuzzy edges. The FWACS is a technique used to address problems involving multiple criteria. In this study, a new ranking approach using FWACS is implemented on a previously published MCDM problem. The purpose of this implementation is to showcase the effectiveness of the FWACS method in addressing decision problems that involve multiple criteria. Copyright © 2025 Inderscience Enterprises Ltd. |
| publisher |
Inderscience Publishers |
| issn |
17575850 |
| language |
English |
| format |
Article |
| accesstype |
|
| record_format |
scopus |
| collection |
Scopus |
| _version_ |
1828987857658707968 |