Fuzzy Trade-off of Time-Cost-Quality in Construction Project and Pareto Solution

Abstract:

A real construction project contains lots of uncertain factors. Based on the fuzzy description of the interrelation among the three goal functions of time, cost and quality, a fuzzy trade-off model is established by using activity duration time as decisive variable. In addition, the immune genetic particle swarm optimization (IGPSO) is proposed to solve the model in the base of particle swarm optimization. In order to test the effectiveness of IGPSO, we use the Matlab simulation to test different benchmark functions and apply it to solve the fuzzy trade-off problem of real construction projects. As a result, the different fuzzy Pareto optimum solutions and their relevant three-dimensional scatter diagram illustrate the model’s feasibility and the effectiveness of IGPSO ,which can be used by decision makers to make a reasonable decision.