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KNOWLEDGE ACQUISITION TOOL FOR CASE-BASED REASONING SYSTEMS
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AI
DOI：10.1016/0957-4174(94)00062-Z.png)
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摘要
En 中文
Knowledge acquisition is an important aspect of intelligent systems. The usefulness of such systems depends on system completeness and consistency. Case-based reasoning is a useful means of matching a natural human mode of dealing with complex problems through systematic recording of experience. However, this approach requires that representative case sets be considered in the knowledge acquisition phase, and once these case sets have been acquired, an efficient means of retrieving them is needed. M-CLASS is an ordinal classification model that gives structure to a knowledge acquisition environment where cases could be the source of knowledge. The M-CLASS system assures consistency and provides a means of checking for completeness. The system is demonstrated with a medical example.
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IF:
7.5
论文数:
3.0W
被引数:
10.2W
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