Various methods have been developed to achieve the most suitable solution in the face of challenges of constantly changing living conditions. Fuzzy logic is one of these methods and frequently preferred by researchers in recent years. Fuzzy logic is based on artificial intelligence modeling the information that includes uncertainty in the most appropriate mindset of people, especially in the decision making process. It also offers flexible and realistic perspectives to people. In this study, a fuzzy logic-based decision support system designed using reproduction and milk yield records of Holstein Friesians. Inputs of designed system are 305-day milk yield (305 DMY), calving interval (CI), service period (SP), artificial insemination (AI), dry period (DP). Output of the system is determined as classification decision. Similarities between expert and system decisions were investigated. Kappa statistics were used for this purpose and fitting value was found as 92.6% (P< 0.05).