Proceedings of the 8th international conference on Artificial intelligence and law
Prototype of an Intelligent Failure Analysis System
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
A Similarity Indexing Method for the Data Warehousing - Bit-Wise Indexing Method
PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining
A case-based procurement advisory system for construction
Advances in Engineering Software
A strategy for evaluating a fuzzy case-based construction procurement selection system
Advances in Engineering Software
A strategy for evaluating a fuzzy case-based construction procurement selection system
Advances in Engineering Software
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By their nature, case-based reasoning (CBR) systems, have a built-in set of test cases in their case library. Effective use of this feature can facilitate the validation process by minimizing the involvement of domain experts. This can reduce the cost of the validation procedure, and eliminate the subjectivity introduced by experts. This paper proposes a validation technique that makes use of the system's own case library to validate a CBR system. Called the case library subset test (CLST) technique, it evaluates the correctness of the retrieval and adaptation functions of the CBR engine with respect to the domain as represented by the case library. It is composed of three phases, 1) the retrieval test, 2) the adaptation test, and 3) the domain coverage test. A complete description of the technique and an application of it to validate an existing CBR system are included in this paper