基于α-截集表达的模糊贝叶斯网

Based on α-cut sets representation of fuzzy set ,this paper has proposed an easily quantifiable approach to generalize Bayesian networks under fuzzy a prior and fuzzy sample data. The combination of bayesian statistics and fuzzy set theory will improve advanced fuzzy control to include stochastic information processing and higher level control knowledge representation. Also the approach can facilitate more natural and wider scope knowledge representation in Bayesian networks in general.