Possibilistic optimization in planning decision of construction industry

This paper proposes a new method to obtain optimal solution using satisfactory approach in uncertain environment. The optimal solution is obtained by using possibilistic linear programming approach and MATLAB® computation. The possibilistic linear programming approach uses modified S-curve membership function (MF). The developed model is applied to a construction industry's problem adopted from Lazarevic and Abraham. Profit function, index of work quality and worker satisfaction index of the construction industry are considered for the optimal solution.