Due to its remarkable abilities, the studies about abrasive water jet cutting process are rapidly increased in recent years. One of the main problems about this brilliant technology is to find the appropriate technology to use in cutting processes to increase surface quality. In this paper a fuzzy/crisp AHP based decision support system is proposed for the selection of appropriate technology for the cutting process of titanium. An application of the proposed models and their results are presented with comparisons. The results illustrated that both methods used in decision support pointed out the same technology with similar weights.