A rankability-based fuzzy decision making procedure for oil supplier selection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F23%3AA250387A" target="_blank" >RIV/61988987:17610/23:A250387A - isvavai.cz</a>
Alternative codes found
RIV/61988987:17610/23:A2402CD1 RIV/61989100:27240/23:10253778
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S1568494623009742?ref=pdf_do" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1568494623009742?ref=pdf_do</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.asoc.2023.110956" target="_blank" >10.1016/j.asoc.2023.110956</a>
Alternative languages
Result language
angličtina
Original language name
A rankability-based fuzzy decision making procedure for oil supplier selection
Original language description
Multiple-criteria decision-making (MCDM) explicitly assesses several conflicting criteria for our daily livesin selecting products, vehicles, techniques, etc. Weighting on criteria is a critical step in MCDM as theinvalid weight of criteria will lead to a wrong decision. The proposed method addresses some drawbacksof the entropy-based weighting method commonly used in MCDM. The proposed new weighting methodconsiders multiple evaluation factors, including the performance of the decision-maker, the edge weightbasis of a digraph, and dominance relationships in the data. By incorporating these factors, the proposedmethod overcomes the limitations of the entropy-based method and reduces the total computation required.We conducted experiments using sustainable transportation data and comprehensively analyzed the results.We also propose a fuzzy MCDM model incorporating the proposed weighting method and Dempster–Shafertheory. Our model aims to handle uncertainty and imprecision in decision-making. Finally, the correctness andeffectiveness of the proposed model were tested on real-life applications. The results of these tests demonstratedthat the proposed method provides a practical and effective approach to decision-making in various domains.Overall, the work introduces a new weighting method based on rankability in MCDM, addresses the limitationsof the entropy-based method, and presents a fuzzy MCDM model for handling uncertainty. The experimentalresults suggest that the proposed approach is promising and offers valuable insights for decision-makers.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
<a href="/en/project/EF17_049%2F0008414" target="_blank" >EF17_049/0008414: Centre for the development of Artificial Intelligence Methods for the Automotive Industry of the region</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
APPLIED SOFT COMPUTING
ISSN
1568-4946
e-ISSN
1872-9681
Volume of the periodical
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Issue of the periodical within the volume
December
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
16
Pages from-to
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UT code for WoS article
001112876600001
EID of the result in the Scopus database
2-s2.0-85175698909