Chi, R.H. and M.Y. Kiang (1991). "An Integrated Approach of Rule-Based and CaseBased Reasoning for Decision Support," Proceedings of the 19th annual conference on Computer Science Conference, San Antonio, TX.  Home/Search   Document Not in Database   Summary   Related Articles

....an expert system is a rule based reasoning system, there is another approach the case based reasoning (CBR) system. CBR is a way of capturing previous experience to solve new problems. It matches a new problem s important features or characteristics to old cases which were successful before (Chi and Kiang, 1991). CBR systems work by defining a way to determine how similar two cases are based on their features. They search through a case base to find the most similar cases. CBR is most suitable for domains where: The problem domain is not well understood. The domain theory is too weak to be acquired ....

....of situations described in the experience base to the current situation, CBR is a very appropriate technique to apply. However, the problem with CBR is that it cannot take into account situations where there are also rules or guidelines available, which cannot be expressed in the form of a case (Chi and Kiang, 1991). CBR can only determine similarity between the current situation and existing cases. A critiquing system does not determine similarity, but is a flexible system which can take rules and guidelines into account. 4.2 Characteristics of critiquing systems Critiquing systems try to say the right ....

Chi, R.H. and M.Y. Kiang (1991). "An Integrated Approach of Rule-Based and CaseBased Reasoning for Decision Support," Proceedings of the 19th annual conference on Computer Science Conference, San Antonio, TX.

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC