Filter is a key technology of information retrieve of internet. Intelligent tutor system basedon WWW(WWWITS) can tutor several students at the same time,and support the collaboration andcompete learning mode. Filter is also important for WWW-based ITS(WWWITS) ,which is the key fac-tor to implement intelligence and to improve the adaptivity of WWWITS. In this paper,we present twofilter models in WWWITS,and we make further researches on the model ,method ,formalization,and ex-tended HTML based on what We have studied.
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.
