1,721,149 research outputs found
A tool-supported approach to inter-tabular verification
No full textThe use of decision tables to verify knowledge based systems (KBS) has been advocated several times in the validation and verification (V&V) literature. However, one of the main drawbacks of these systems is that they fail to detect anomalies that occur over rule chains. In a decision table based context this means that anomalies that occur due to interactions between tables are neglected. These anomalies are called inter-tabular anomalies. In this paper we investigate an approach that deals with inter-tabular anomalies. One of the prerequisites for the approach was that it could be used by the knowledge engineer during the development of the KBS. This requires that the anomaly check can be performed on-line. As a result, the approach partly uses heuristics where exhaustive checks would be too inefficient. All detection facilities that will be described have been implemented in a table-based development tool called . The use of this tool will be briefly illustrated. In addition, some experiences in verifying large knowledge bases are discussed
Extracting complete and consistent knowledge patterns from data
No full textIn this paper, it is shown how extracted patterns from data can be verified using decision tables (DTs). It is demonstrated how a complete and consistent decision table can be automatically modelled even if the extracted patterns contain anomalies. The proposed method is empirically validated on several benchmarking datasets. In addition to modelling a DT that is free of anomalies, it is shown that the DTs are sufficiently small such that the DTs can be consulted easil
An initial comparison of a fuzzy neural network classifier and a decision tree based classifier
No full textApplication independent tool support for the transition between knowledge structuring formalisms
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