TY  - JOUR
T1  - A New Algorithmforsolving Fuzzy Transportation Problems with Triangularfuzzy Numbers
AU - Srinivasan, R. AU - Muruganandam, S. AU - Vijayan, V. 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 18
SP  - 3501
EP  - 3505
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.3501.3505
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.3501.3505
KW  - Project schedules
KW  -assignment problems
KW  -network flow analysis
KW  -triangular fuzzy numbers
KW  -fuzzy transportation problem
KW  -ranking technique
AB  - In real world problems, optimization techniques are useful for solving problems like, project
schedules, assignment problems and network flow analysis. The main aspect of this study is to find the least
transportation 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. Here, we are proposing a new algorithm
for solving fuzzy transportation problem, where fuzzy demand and supply all are in the form of triangular fuzzy
numbers. Where fuzzy demand and supply all are in the form of triangular fuzzy numbers. So, the proposed
approach is very easy to understand and to apply on real life transportation problems for the decision makers.
ER  -