2 , to be an improvement of discretization method based on rough set theory and boolean reasoning , algorithms for discretization in mixed real and discrete attributes system are proposed , functions based on information entropy are presented to analysis the results of discretization quantitatively , and the effects of discretization for knowledge acquisition are discussed 基于布爾邏輯與粗糙集相結(jié)合的離散化方法,提出了連續(xù)離散屬性混合系統(tǒng)離散化的策略和啟發(fā)式算法,在信息熵的基礎(chǔ)上,提出了一種對離散化結(jié)果進(jìn)行評判的標(biāo)準(zhǔn),并對布爾邏輯離散化方法和混合離散化算法進(jìn)行了評價(jià)。