The goal of this research is to explore and compare two fuzzy algorithms that extract modular IF-THEN rules – Fuzzy PRISM and Fuzzy AQR learning strategy. The article describes the historical need for algorithms obtained in a different induction process – it points out the weak spots of ID3 algorithm and the necessity for improvements. PRISM algorithm is proposed as an improvement to ID3 algorithm changing its principal induction strategy. Both algorithms examined in this article are modifications of PRISM algorithm. This paper provides step-by-step descriptions of both algorithms, a comparison of the results acquired by both algorithms in working with real data as well as conclusions and directions of future research.