| Author: | Leung, Ming-ah Albert |
| Title: | A regulator's expert system for licensing and monitoring insurance companies |
| Degree: | M.Sc. |
| Year: | 1997 |
| Subject: | Insurance companies -- China -- Hong Kong -- Management Expert systems (Computer science) Hong Kong Polytechnic University -- Dissertations |
| Department: | Department of Computing |
| Pages: | vii, 99, [111] leaves : ill. ; 30 cm |
| Language: | English |
| Abstract: | Government regulation of the insurance industry involves the licensing and monitoring of insurance companies to protect society from the consequences of company failures. This regulatory process requires managing large and complex knowledge, not just inferencing based on rules. Such knowledge is not easily managed by heuristic-based expert systems and comprehensive solutions are difficult to provide. A hybrid system combining case-based reasoning with heuristics addresses this deficiency. This research discussed the design and development of a prototype hybrid expert system that imitates the expertise applied by professional officers in insurance regulation. Developed on KAPPA-PC, the prototype has separate modules with Windows-based interfaces to handle user advice requests in licensing and monitoring. The system helps in developing a "licensing conditions package" in one module by matching with previous cases and provides a "monitoring action recommendation" in another module by hybrid reasoning. Case management aspects are improved with the use of Microsoft Excel spreadsheets integrated with the case base. This paper demonstrates the system conceptual model, the use of different retrieval and adaptation strategies, rule inferencing, and system evaluation. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b1405436x.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 8.25 MB | Adobe PDF | View/Open |
Copyright Undertaking
As a bona fide Library user, I declare that:
- I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
- I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
- I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.
By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.
Please use this identifier to cite or link to this item:
https://theses.lib.polyu.edu.hk/handle/200/907