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...

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发表在:International Journal of Mathematics in Operational Research
主要作者: 2-s2.0-85218914221
格式: 文件
语言:English
出版: Inderscience Publishers 2025
在线阅读: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.
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
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