Ranking fuzzy numbers with integral value
Fuzzy Sets and Systems
A concept of the optimal solution of the transportation problem with fuzzy cost coefficients
Fuzzy Sets and Systems
Fuzzy integer transportation problem
Fuzzy Sets and Systems
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Ranking function-based solutions of fully fuzzified minimal cost flow problem
Information Sciences: an International Journal
The solution and duality of imprecise network problems
Computers & Mathematics with Applications
A New Method Based on Goal Programming for Solving Transportation Problem with Fuzzy Cost
ISIP '08 Proceedings of the 2008 International Symposiums on Information Processing
Computers and Industrial Engineering
Application of fuzzy minimum cost flow problems to network design under uncertainty
Fuzzy Sets and Systems
A fuzzy transportation algorithm
Fuzzy Sets and Systems
Network flow problems with fuzzy arc lengths
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy optimal solution of fuzzy transportation problems with transshipments
RSFDGrC'11 Proceedings of the 13th international conference on Rough sets, fuzzy sets, data mining and granular computing
Hi-index | 0.00 |
To find the fuzzy optimal solution of fuzzy transportation problems it is assumed that the direct route between a source and a destination is a minimum-cost route. However, in actual application, the minimum-cost route is not known a priori. In fact, the minimum-cost route from one source to another destination may well pass through another source first. In this paper, a new method is proposed to find the fuzzy optimal solution of fuzzy transportation problems with the following transshipment: (1) From a source to any another source, (2) from a destination to another destination, and (3) from a destination to any source. In the proposed method all the parameters are represented by trapezoidal fuzzy numbers. To illustrate the proposed method a fuzzy transportation problem with transshipment is solved. The proposed method is easy to understand and to apply for finding the fuzzy optimal solution of fuzzy transportation problems with transshipment occurring in real life situations.