Optimal Solution to Fully Fuzzy Time Cost Trade off Problem

Time Cost Trade Off problem is one of the main aspects of project scheduling. The Method of solving these kinds of problems requires a scheduling with more stability against environmental variations. In this paper, we propose a new solution procedure for time cost trade off problem in which both times and costs are fuzzy. By using a modified subtraction we propose a method for finding an optimal duration by crashing the fuzzy activities of a project network without converting the fuzzy activity times and costs to classical numbers. Finally, illustrative examples are provided to demonstrate the efficiency of the proposed method.