A model for risk evaluation in construction projects based on fuzzy MADM

The number, size and complexity of new projects in Iran have created an extra burden on construction participants and resulted in lots of risks. In this paper, at first we identify the significant risks in construction industry project; then we introduce some effective criteria and attributes is used for risk evaluating in construction industry. Afterwards the problem is defined in fuzzy MADM field. Therefore, fuzzy TOPSIS and fuzzy LINMAP methods are presented to evaluate the high risks in the project. This study compares the modeling mechanisms of the two methods and their performances in modeling a set of project risk data. Finally, a case study is used to illustrate the procedure of the proposed model at the end of paper.