A new Approach for Obtaining Optimal Solution of Unbalanced Fuzzy Transportation Problem
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2016, Vol 15, Issue 6
Abstract
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.
Authors and Affiliations
Nidhi Joshi, Surjeet Singh Chauhan
Keywords
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- EP ID EP650823
- DOI 10.24297/ijct.v15i6.3977
- Views 123
- Downloads 0
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