IJPAM: Volume 106, No. 5 (2016)

AN MODIFIED METHOD FOR SOLVING BALANCED
FUZZY TRANSPORTATION PROBLEM
FOR MAXIMIZING THE PROFIT

S. Krishna Prabha$^1$, S. Vimala$^2$
$^1$Department of Mathematics
PSNA CET, Dindigul, Tamil Nadu, INDIA
$^2$Department of Mathematics
Mother Teresa Women's University
Kodaikannal, Tamil Nadu, INDIA


Abstract. The main objective of Fuzzy transportation is to find the maximum profit cost of some commodities through a capacitated network, when the supply and demand of nodes and the capacity and cost of edges are represented as fuzzy numbers. In this paper we are presenting a new technique for finding the maximum profit cost for fuzzy transportation problem by Using Yager's Ranking Method where fuzzy quantities are transformed in to crisp quantities. We have given a numerical illustration to check the validity of the proposal.

Received: January 23, 2016

AMS Subject Classification: 90C08, 90C90, 90C70, 90B06

Key Words and Phrases: fuzzy balanced transportation problem, triangular fuzzy number (TFNs), Yager's ranking method, profit maximization

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DOI: 10.12732/ijpam.v106i5.5 How to cite this paper?

Source:
International Journal of Pure and Applied Mathematics
ISSN printed version: 1311-8080
ISSN on-line version: 1314-3395
Year: 2016
Volume: 106
Issue: 5
Pages: 45 - 52


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