A guide to expert systems
A simulation-based procedure for expert system evaluation
IEA/AIE '00 Proceedings of the 13th international conference on Industrial and engineering applications of artificial intelligence and expert systems: Intelligent problem solving: methodologies and approaches
Decision Support Systems and Intelligent Systems
Decision Support Systems and Intelligent Systems
Evaluating Performance and Quality of Knowledge-Based Systems: Foundation and Methodology
IEEE Transactions on Knowledge and Data Engineering
Expert systems evaluation proposal
Proceedings of the 2007 conference on Human interface: Part I
The Impact of Expert Decision Support Systems on the Performance of New Employees
Information Resources Management Journal
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This study aims to present an expert systems' performance evaluation model, which will then be used to evaluate an existing expert system as a way of testing its applicability. The proposed model's evaluation criteria are: usability, utility, quality, interface, structure, productivity and return. Information systems, especially expert systems, are today a real necessity for any organisation intending to be competitive. Given this scenario, organisations investing in these systems, aim to, progressively, ensure that the investment they've made is contributing to the organisation's success. Hence, it is fundamental to evaluate the expert system performance. The evaluation assesses an expert system's adaptability to its original requisites and objectives and determines if its performance satisfies its users and meets the organisation's strategic goals.