Fuzzy Optimal Solution of Interval-Valued Fuzzy Transportation Problems.

There are several methods to solve the unbalanced fully fuzzy transportation problems in which the total availability is less than the total demand. In these methods a dummy source, is added to balance the problem. As this added dummy source does not exist actually, it is not genuine to apply existing methods to get real life solutions. So, in this paper a method is proposed to solve such unbalanced transportation problems and the obtained fuzzy optimal solution is in terms of original sources only. By applying the proposed method, we can get the information that the availability of which original source should actually be increased so that the total fuzzy demand is met and the total fuzzy transportation cost is minimum. [ABSTRACT FROM AUTHOR]