A knowledge-based system for assessing applications for house renovation grants

This research is concerned with the development of a knowledge-based expert system for supporting human experts in assessing applications for the house renovation grant system. The development of the system followed the task structure analysis and the client-centred approach. The task structure analysis describes the system at knowledge level in terms of tasks, problem-solving methods and knowledge types. The implementation of the system followed the client-centred approach. The resulting system implements a framework that integrates case-based reasoning, abductive assembly, decomposition and associative methods. In addition, this framework combines different types of knowledge, which are required by the problem-solving methods. The implementation was carried out together with verification and validation, making it possible to have the system more valid after each stage of the client-centred approach. The system has demonstrated that various problem-solving methods are required for performing the different tasks of the assessment of application for the house renovation grant system. Therefore the system has proved to perform as accurately as human experts do for all of the tasks.

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