Paper Info
Title
Multi-Objective Transportation Problem With Cost Reliability Under Uncertain Environment
Abstract
This paper analyzes the study of a Multi-Objective Transportation Problem (MOTP) under uncertain environment. Assuming the uncertainty in real-life decision making problems, the concept of reliability is incorporated in the transportation cost and the effectiveness is justified through the proposed MOTP. Again, considering the real phenomenon in the MOTP, we consider the transportation parameters, like as supply and demand as uncertain variables. Also, we consider the fuzzy multi-choice goals to the objective functions of the MOTP; and Fuzzy Multi-Choice Goal Programming (FMCGP) is used to select the proper goals to the objective functions of the proposed MOTP. Here, the proposed study is not only confined to obtain the compromise solution but also to fix up the proper goals to the objective functions of the MOTP. A numerical example is presented to illustrate and justify the proposed study. Finally, the paper ends with the conclusion and future study.
Year
DOI
Venue
2016
10.1080/18756891.2016.1237184
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS
Keywords
Field
DocType
Transportation problem, Multi-objective decision making, Reliability, Uncertain programming, Fuzzy multi-choice goal programming
Transportation cost,Mathematical optimization,Fuzzy logic,Transportation theory,Goal programming,Compromise,Supply and demand,Mathematics,Uncertain programming
Journal
Volume
Issue
ISSN
9
5
1875-6891
Citations 
PageRank 
References 
5
0.44
7
Authors
3
Name
Order
Citations
PageRank
Gurupada Maity1303.22
Sankar Kumar Roy210414.63
J. L. Verdegay33136319.89