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Solving Two Stage Fuzzy Transportation Problem by Row Minima Method

by M. Kiruthiga, M. Lalitha, C. Loganathan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 65 - Number 22
Year of Publication: 2013
Authors: M. Kiruthiga, M. Lalitha, C. Loganathan
10.5120/11213-6236

M. Kiruthiga, M. Lalitha, C. Loganathan . Solving Two Stage Fuzzy Transportation Problem by Row Minima Method. International Journal of Computer Applications. 65, 22 ( March 2013), 1-4. DOI=10.5120/11213-6236

@article{ 10.5120/11213-6236,
author = { M. Kiruthiga, M. Lalitha, C. Loganathan },
title = { Solving Two Stage Fuzzy Transportation Problem by Row Minima Method },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 65 },
number = { 22 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume65/number22/11213-6236/ },
doi = { 10.5120/11213-6236 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:20:31.325422+05:30
%A M. Kiruthiga
%A M. Lalitha
%A C. Loganathan
%T Solving Two Stage Fuzzy Transportation Problem by Row Minima Method
%J International Journal of Computer Applications
%@ 0975-8887
%V 65
%N 22
%P 1-4
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, two stage cost minimizing fuzzy transportation problem is solved in a feasible method. For this solution Row minimum method is used in which the supplies and demands are trapezoidal fuzzy numbers. A parametric approach is used to obtain a fuzzy solution. Here a Numerical example is solved to check the validity of the proposed method.

References
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  8. Hamdy A. Taha , Naresh k. Malhotra and Mark N. K. Saunders ,Research methodology and Operations Research.
Index Terms

Computer Science
Information Sciences

Keywords

Trapezoidal fuzzy number Two stage fuzzy transportation problem -optimal solution Row minima method

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