A new Approach for Obtaining Optimal Solution of Unbalanced Fuzzy Transportation Problem
2016 ◽
Vol 15
(6)
◽
pp. 6824-6832
Keyword(s):
The present paper attempts to study the unbalanced fuzzy transportation problem so as to minimize the transportationcost of products when supply, demand and cost of the products are represented by fuzzy numbers. In this paper, authorsuse Roubast ranking technique to transform trapezoidal fuzzy numbers to crisp numbers and propose a new algorithm tofind the fuzzy optimal solution of unbalanced fuzzy transportation problem. The proposed algorithm is more efficient thanother existing algorithms like simple VAM and is illustrated via numerical example. Also, a comparison between the resultsof the new algorithm and the result of algorithm using simple VAM is provided.
2013 ◽
pp. 189-192
2017 ◽
2011 ◽
Vol 2
(4)
◽
pp. 52-71
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2018 ◽
Vol 15
(01)
◽
pp. 95-112
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2019 ◽
Vol 15
(3)
◽
pp. 364
Keyword(s):
2019 ◽
Vol 4
(3)
◽
pp. 683-696
2020 ◽
Vol 19
(1)
◽
pp. 85
◽