A Decision-Making Framework for Multi-Objective Transportation Problem Using Fully Triangular Intuitionistic Fuzzy Sets
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F25%3A10258371" target="_blank" >RIV/61989100:27230/25:10258371 - isvavai.cz</a>
Result on the web
<a href="https://www.webofscience.com/wos/woscc/full-record/WOS:001534263200002" target="_blank" >https://www.webofscience.com/wos/woscc/full-record/WOS:001534263200002</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s44196-025-00915-3" target="_blank" >10.1007/s44196-025-00915-3</a>
Alternative languages
Result language
angličtina
Original language name
A Decision-Making Framework for Multi-Objective Transportation Problem Using Fully Triangular Intuitionistic Fuzzy Sets
Original language description
In this paper, we propose a fully triangular intuitionistic fuzzy number model for the multi-objective transportation problem that successfully manages ambiguity and hesitation in decision making. To provide a reliable transportation plan in the case of unpredictability, the suggested methodology uses a multi-objective optimization framework that strikes a balance between cost, time and reliability. A significant component of this study is the weight assignment and multiple decision levels, which enables decision makers to rank goals and customize solutions according to specific transportation needs. This technique makes decision making easier while also provides flexibility in dealing with difficult real-world situations. Furthermore, we compare our proposed model with other approaches that are currently in use, such as the intuitionistic fuzzy approach and the goal programming approach. According to the outcomes, our model provides a more effective and realistic transportation strategy by offering a more balanced trade-off between cost, time and reliability. A numerical example is provided to illustrate the efficacy of the method, showing how combining centre, expected, and ranking values increases solution accuracy and decision reliability while providing a systematic way of comparing and defuzzifying fuzzy numbers.
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
20300 - Mechanical engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Computational Intelligence Systems
ISSN
1875-6891
e-ISSN
1875-6883
Volume of the periodical
18
Issue of the periodical within the volume
1
Country of publishing house
FR - FRANCE
Number of pages
29
Pages from-to
nestránkováno
UT code for WoS article
001534263200002
EID of the result in the Scopus database
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