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In this study, a new approach has been investigated
in solving time-cost trade off problem, because of uncertainties which
affect on activity cost. Fuzzy logic theory is employed to consider affecting
uncertainties in total direct and indirect cost of a construction project.
Non-dominated Sorting Genetic Algorithm (NSGA), a multi objective optimization
algorithm, is applied to provide a trade-off between time and total cost.
Project manager can also have different non-dominated solutions or pareto
solutions which are dependent on his measure of accepted risk through
applying α cuts methods in fuzzy logic theory. The proposed model
leads the decision maker to select the desirable pareto front solution
through acceptable value of α cut.
