Bn is network structure with clarity semantics . lt exploits the structure of the domain to allow a compact representation of complex joint probability distribution . its sound probabilistic semantics , explicit encoding of relevance relationships , inference algorithms and learning algorithms that are fairly efficient and effective in pratice , and decision - making mechanism of facility , have led bn to enter the artificial intelligence ( ai ) mainstream . for the reasons that they have produced more and more practical values and economic profits in many important application fields , such as modern expert systems , diagnosis engines , decision support systems , and data mining systems , researchers from both industry and academia are thus taking them much seriously 它具有清晰語義的網(wǎng)絡結構;它揭示領域對象的內在結構,是復雜全概率分布的緊湊表示方式;其堅實的理論基礎、知識結構的自然表述方式、靈活的推理能力、方便的決策機制及有效的學習能力使其成為一種主要的不確定知識的處理方法。貝葉斯網(wǎng)絡已經在專家系統(tǒng)、決策支持系統(tǒng)、數(shù)據(jù)挖掘系統(tǒng)和范例推理系統(tǒng)等許多重要領域產生應用價值和經濟效益。