Risk in the construction industry is an important factor which must be considered in every decision. To ensure the smooth operation of any project, construction risk factors need to be investigated and assessed. For this reason, the evaluation of the risk factor is determined using expert opinion. Four main risk categories are used in this study, namely risk on project management, engineering risk, implementation risk, and supplier risk. The purpose of this study is to implement a fuzzy analytical hierarchy process (fuzzy AHP), a method that has been receiving increased interest in decision making situations to determine the relative importance of the criteria used for the decision when calibrating the end of each risk factor stage. A paired comparison was employed for subjective judgment made by experts in order to compute the priority weight vector for each risk item. Results show that the risk on supplier carries the highest weight (0.91), followed by the risk of accidents on site (0.58) and less motivation among the project management team (0.55). The final relative weight at the last level of the hierarchy gives a signal to the decision maker of organization of all the possible impacts of the risks revealed. Hence, the application of fuzzy AHP in ranking risk factors has demonstrated better results and more flexibility in human decision making.