| Nikopoulos C: Expert Systems, Marcel Dekker Inc, 1997. |
....addition to an actual question and answer session, one can utilize other techniques such as filling in questionnaires or even observing the way that experts work in real situations. The resulting system is based on rules for different kind of situations and is called a rule based system. Wat86, Nik97] Rule based systems can also be built without a human expert. If a sufficiently large body of data has been collected about the decision making situation, machine learning techniques can be used to extract rules automatically from the data. For this purpose, different techniques have been ....
....a human expert. If a sufficiently large body of data has been collected about the decision making situation, machine learning techniques can be used to extract rules automatically from the data. For this purpose, different techniques have been developed: ID3, PRISM, CN2, ITRULE [FR86, OMYL95, Nik97] These systems can also give explanations about how they came to a particular decision, and thus the user of the system can evaluate the decision on the basis of the facts that have led to it. The rule based systems work well when the decision making path is clear and there is no uncertainty ....
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Nikopoulos C: Expert Systems, Marcel Dekker Inc, 1997.
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