A Decision-Making Framework for Multi-Objective Transportation Problem Using Fully Triangular Intuitionistic Fuzzy Sets
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
A Decision-Making Framework for Multi-Objective Transportation Problem Using Fully Triangular Intuitionistic Fuzzy Sets
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
A Decision-Making Framework for Multi-Objective Transportation Problem Using Fully Triangular Intuitionistic Fuzzy Sets
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
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OECD FORD obor
20300 - Mechanical engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
International Journal of Computational Intelligence Systems
ISSN
1875-6891
e-ISSN
1875-6883
Svazek periodika
18
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
FR - Francouzská republika
Počet stran výsledku
29
Strana od-do
nestránkováno
Kód UT WoS článku
001534263200002
EID výsledku v databázi Scopus
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