Abstract: Aiming at the current condition, which most of wind farm investors prefer using traditional tools for risk evaluation, and the evaluation results are usually affected by subjective preferences and incomplete information, this paper integrated AHP （analytic hierarchy process） and FSE （fuzzy synthetic evaluation） to establish the F-AHP model of risk evaluation based on triangular fuzzy number. To improve the accuracy of risk evaluation, this paper used FSE to enlarge the volume of information, utilized pairwise comparison judgment matrix to calculate the rank weights of risk indexes, and also used triangular fuzzy number to describe the fuzzy nature of human thinking. Application result shows that the model is feasible in the practice of construction risk evaluation for wind farm because of its clear structure and simple opration.

Key words: wind farm, analytic hierarchy process（AHP）, triangular fuzzy number, risk evaluation