Paper Info
Title
Solving Fuzzy Transportation Problem Using Multi-Choice Goal Programming
Abstract
This paper explores the study of fuzzy transportation problem (FTP) using multi-choice goal-programming approach. Generally, the decision variable in transportation problem (TP) is considered as real variable, but here the decision variable in each node is chosen from a set of multi-choice fuzzy numbers. Here, we formulate a mathematical model of FTP considering fuzzy goal to the objective function. Thereafter, the solution procedure of the proposed model is developed through multi-choice goal programming approach. The proposed approach is not only improved the applicability of goal programming in real world situations but also provided useful insight about the solution of a new class of TP. A real-life numerical experiment is incorporated to analyze the feasibility and usefulness of this paper. The conclusions about our proposed work including future studies are discussed last.
Year
DOI
Venue
2017
10.1142/S1793830917500768
DISCRETE MATHEMATICS ALGORITHMS AND APPLICATIONS
Keywords
Field
DocType
Transportation problem, fuzzy variable, multi-choice programming, goal programming
File Transfer Protocol,Decision variables,Mathematical optimization,Fuzzy set operations,Fuzzy logic,Fuzzy transportation,Transportation theory,Artificial intelligence,Goal programming,Fuzzy number,Mathematics
Journal
Volume
Issue
ISSN
9
6
1793-8309
Citations 
PageRank 
References 
1
0.37
10
Authors
2
Name
Order
Citations
PageRank
Gurupada Maity1303.22
Sankar Kumar Roy210414.63