Fuzzy Analytical Hierarchy Process (fuzzy AHP) is a helpful MCDM approach for the selection of public financing of cooperative R&D projects developed by firms in collaboration with government. A technical committee for Industrial Technology Development Program (ITDP) in Taiwan regularly evaluates and decides proper public financing of cooperative R&D projects. In this study, we first discuss important criteria for R&D projects selection. We apply fuzzy AHP to integrating decisions of members in the technical committee. Especially we utilize crisp judgment matrix instead of interval judgment matrix to integrate subject judgments of these members. Our results indicate that scientific & technology merit criterion (0.389) is most important considered in overall technical committees. Besides that, the project execution (0.260) is more important criteria than potential benefits (0.204) and project risk (0.147) in ITDP selection. Moreover, we utilize the simulation to analyze relative important of criteria under risky environment. Our results also indicate that the relative important of criteria will reverse when technical committee faces different risk level. Generally speaking, the paper reveals below results: (1) the fuzzy AHP is an appropriate method in multi-criteria R&D projects selection; (2) the crisp judgment matrix is suitable to integrate subject judgments of technical committee; (3) the relative important of criteria will reverse under different risky environment.