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Decentralising the codification of rules in a decision support expert knowledge base

Dissertation (MSc Computer Science)--University of Pretoria, 2005.

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Other Authors: Bishop, Judith
Format: Thesis
Published: University of Pretoria 2013
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access_status_str Open Access
author2 Bishop, Judith
author_browse Bishop, Judith
author_facet Bishop, Judith
collection Thesis
dc_rights_str_mv © 2004, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MSc Computer Science)--University of Pretoria, 2005.
format Thesis
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institution University of Pretoria (South Africa)
last_indexed 2026-06-10T12:37:13.330Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2013
publishDateRange 2013
publishDateSort 2013
publisher University of Pretoria
publisherStr University of Pretoria
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source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/22959 Decentralising the codification of rules in a decision support expert knowledge base Bishop, Judith edk@global.co.za De Kock, Erika Intelligent decision support systems Knowledge-based decision support systems Expert systems Knowledge management Knowledge representation Decision support generator Decision support Decision support systems Knowledge base Rule-based systems UCTD Dissertation (MSc Computer Science)--University of Pretoria, 2005. The paradigm of Decision Support Systems (DSS) is to support decision-making, while an Expert System’s (ES) major objective is to provide expert advice in specialised situations. Knowledge-Based DSS (KB-DSS), also called Intelligent Decision Support Systems (IDSS), integrate traditional DSS with the advances of ES. A KB-DSS’ knowledge base usually contains knowledge expressed by an expert and captured by a knowledge engineer. The indirect transfer between the domain expert and the knowledge base through a knowledge engineer may lead to a long and inefficient knowledge acquisition process. This thesis compares 11 DSS packages in search of a (KB-) DSS generator where domain experts can specify and maintain a Specific Decision Support System (SDSS) to assist users in making decisions. The proposed (KB-) DSS-generator is tested with a university and study-program prototype. Since course and study plan programs change intermittently, the (KB-) DSS’ knowledge base enables domain experts to set and maintain their course and study plan rules without the assistance of a knowledge engineer. Criteria are set to govern the (KB-) DSS generator search process. Example knowledge base rules are inspected to determine if domain experts will be able to maintain a set of production rules used in a student registration advice system. By developing a prototype and inspecting knowledge base rules, it was found that domain experts would be able to maintain their knowledge in the decentralised knowledge base, on condition that the objects and attributes used in the rule base were first specified by a builder/programmer. Computer Science unrestricted 2013-09-06T14:07:45Z 2004-04-06 2013-09-06T14:07:45Z 2004-01-30 2005-04-06 2004-03-04 Dissertation De Kock, E 2004, Decentralising the codification of rules in a decision support expert knowledge base, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/22959 > http://hdl.handle.net/2263/22959 http://upetd.up.ac.za/thesis/available/etd-03042004-105746/ © 2004, University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf application/pdf University of Pretoria
spellingShingle Intelligent decision support systems
Knowledge-based decision support systems
Expert systems
Knowledge management
Knowledge representation
Decision support generator
Decision support
Decision support systems
Knowledge base
Rule-based systems
UCTD
Decentralising the codification of rules in a decision support expert knowledge base
title Decentralising the codification of rules in a decision support expert knowledge base
title_full Decentralising the codification of rules in a decision support expert knowledge base
title_fullStr Decentralising the codification of rules in a decision support expert knowledge base
title_full_unstemmed Decentralising the codification of rules in a decision support expert knowledge base
title_short Decentralising the codification of rules in a decision support expert knowledge base
title_sort decentralising the codification of rules in a decision support expert knowledge base
topic Intelligent decision support systems
Knowledge-based decision support systems
Expert systems
Knowledge management
Knowledge representation
Decision support generator
Decision support
Decision support systems
Knowledge base
Rule-based systems
UCTD
url http://hdl.handle.net/2263/22959
http://upetd.up.ac.za/thesis/available/etd-03042004-105746/