no. 6
Flexible fractional transportation problem with multiple goals: a pentagonal fuzzy concept
RAIRO. Operations Research, Tome 56 (2022) no. 6, pp. 3789-3800

We present the framework of the multiobjective fractional transportation problem in the form of pentagonal fuzzy supply and demand. The ideal transportation model is set up to match the decision makers’ preferences in competing for the criteria, and transportation costs, delivery time, degradation, environmental and social concerns are the objectives. We employed flexible fuzzy goal programming to handle the Model’s complexity to improve the reasonable compromise. The real-world problem of wind turbine blades is used to validate the superiority and effectiveness of the technique.

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DOI : 10.1051/ro/2022169
Classification : 90C32, 46N10
Keywords: Multiobjective optimization, fractional programming, transportation problem, flexible fuzzy goals, pentagonal fuzzy number 
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     title = {Flexible fractional transportation problem with multiple goals: a pentagonal fuzzy concept},
     journal = {RAIRO. Operations Research},
     pages = {3789--3800},
     year = {2022},
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     language = {en},
     url = {https://www.numdam.org/articles/10.1051/ro/2022169/}
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Khan, Mohd Arif; Haq, Ahteshamul; Ahmed, Aquil. Flexible fractional transportation problem with multiple goals: a pentagonal fuzzy concept. RAIRO. Operations Research, Tome 56 (2022) no. 6, pp. 3789-3800. doi: 10.1051/ro/2022169

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