Case-based reasoning: a computer model of subjective assessment
Case-based reasoning: a computer model of subjective assessment
Tools for World Wide Web based legal decision support systems
Proceedings of the 8th international conference on Artificial intelligence and law
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
Dynamic Memory: A Theory of Reminding and Learning in Computers and People
Case-Based Reasoning in Design
Case-Based Reasoning in Design
A Survey on Case-Based Planning
Artificial Intelligence Review
Web-based expert systems: benefits and challenges
Information and Management
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
ICCBR'03 Proceedings of the 5th international conference on Case-based reasoning: Research and Development
Experience management: foundations, development methodology, and internet-based applications
Experience management: foundations, development methodology, and internet-based applications
International Journal of Knowledge Engineering and Soft Data Paradigms
| Hi-index | 0.00 |
The selection of expert system shell (ES shell) and web-based expert system (WBES) is an important issue in their design and development. Very few literatures depict the methods for selection of stand alone or WBES. We have developed a CBR approach which considers some processes of CBR such as knowledge representation, acquisition, retrieval, learning and adaptation. A table is prepared that show the components of knowledge based system (KBS) in ES shell; KBS components and web services and languages in WBES. A simple query (binary) is used to gather and store the user requirements in the form of user data vector (UDV). ANN and heuristic methods are deployed forlearning and adaptation of a new case. The matched results show the confidence in selecting a particular ES shell and WBES and their corresponding component. The shells with maximum and near by unity confidence are selected.