Open AccessOptimum Cost of Transporting Problems with Hexagonal Fuzzy Numbers
Author(s) -
Marwan Abdul Hameed Ashour
Publication year - 2019
Publication title -
xi'nan jiaotong daxue xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.308
H-Index - 21
ISSN - 0258-2724
DOI - 10.35741/issn.0258-2724.54.6.10
Subject(s) - fuzzy transportation , mathematical optimization , minification , fuzzy logic , point (geometry) , particle swarm optimization , hexagonal crystal system , computer science , fuzzy number , operations research , total cost , fuzzy set , mathematics , economics , artificial intelligence , microeconomics , chemistry , geometry , crystallography
Transportation problems can be used in managing shipments straightforwardly from the supply point to the demand point. More recently, there has been widespread interest in applying transportation problems to optimize the fuzzy number systems. The ability to distinguish and make use of particular structures is a significant factor in the efficacious application of optimization models. In this paper, fuzzy methods of hexagonal are used to solve transportation problems when the demand and destination are uncertain. The most important findings of this paper are reaching the optimum transportation cost minimization through magnitude hexagonal fuzzy numbers. The results verified that the optimal transport plan of the company succeeded in minimizing the total cost to 1222$. The outcomes of this paper can be optimized by particle swarm optimization as a future trend.