Paper Info
Title
A fixed charge multi-objective solid transportation problem in random fuzzy environment.
Abstract
In this paper, a fixed charge multi-objective solid transportation problem (MOSTP) is formulated and solved. Here, unit transportation costs, fixed charge cost, resources, demands, and capacities of conveyances are considered as random fuzzy in nature. The MOSTP is formulated as a decision making model optimizing possibilistic value at risk by incorporating the concept of value at risk (VaR) into possibility and necessity measure theories. The reduced deterministic constrained problem is solved using generalized reduced gradient (GRG) method (LINGO-14.0). The model is illustrated with numerical examples and some sensitivity analysis.
Year
DOI
Venue
2015
10.3233/IFS-151542
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Keywords
Field
DocType
Solid transportation problem,fixed charge cost,random fuzzy variables,possibility,necessity
Mathematical optimization,Fixed charge,Simulation,Solid transportation problem,Fuzzy logic,Artificial intelligence,Mathematics,Machine learning
Journal
Volume
Issue
ISSN
28
6
1064-1246
Citations 
PageRank 
References 
3
0.37
13
Authors
3
Name
Order
Citations
PageRank
Sutapa Pramanik1363.00
Dipak Kumar Jana28412.48
Manoranjan Maiti351447.77