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Construction contractors have a great role in terms of operation work properly in construction project management. An effective contractor selection is most important to the success of any construction projects. Contractor selection is a multi criteria decision making problem which includes qualitative and quantitative characteristics. For the contractor selection problem, this study proposes a combined decision approach, which employs analytic hierarchy process (AHP) and Fuzzy Technique Ordered Preference by Similarity to the Ideal Solution (TOPSIS)  methods. In the proposed approach, AHP is used to determine the weights of selection criteria, and Fuzzy TOPSIS is used to select appropriate contractor alternative. Additionally, a real case study in construction industry is presented to illustrate the application of the proposed approach.

he aims of the study at using AHP (Analytic Hierarchy Process) are two-fold. First, the study aims to determine the relative importance or weight of multiple criteria and its attributes in the decision problem of location selection. The second aim of the study is to identify a location with the highest potential among alternatives for retailers by using a series of criteria and attributes determined. By the means of the AHP method, decision makers put weighted values to the evaluation criteria with respect to the related goal and the attributes with respect to the corresponding criteria. In addition, the priority weight for every location alternative on each criterion and attribute is estimated. The AHP process involves hierarchically structuring decision problem, setting priority weights, establishing a judgment matrix and weight vector, and then ranking the order of location alternatives. To substantiate the feasibility of this standard approach, a case study is conducted with location selection for a clothing store in this study.