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

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dc.contributor.advisor Bishop, Judith en
dc.contributor.postgraduate De Kock, Erika en
dc.date.accessioned 2013-09-06T14:07:45Z
dc.date.available 2004-04-06 en
dc.date.available 2013-09-06T14:07:45Z
dc.date.created 2004-01-30 en
dc.date.issued 2005-04-06 en
dc.date.submitted 2004-03-04 en
dc.description Dissertation (MSc Computer Science)--University of Pretoria, 2005. en
dc.description.abstract 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. en
dc.description.availability unrestricted en
dc.description.department Computer Science en
dc.identifier.citation 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 > en
dc.identifier.upetdurl http://upetd.up.ac.za/thesis/available/etd-03042004-105746/ en
dc.identifier.uri http://hdl.handle.net/2263/22959
dc.language.iso en
dc.publisher University of Pretoria en_ZA
dc.rights © 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. en
dc.subject Intelligent decision support systems en
dc.subject Knowledge-based decision support systems en
dc.subject Expert systems en
dc.subject Knowledge management en
dc.subject Knowledge representation en
dc.subject Decision support generator en
dc.subject Decision support en
dc.subject Decision support systems en
dc.subject Knowledge base en
dc.subject Rule-based systems en
dc.subject UCTD en_US
dc.title Decentralising the codification of rules in a decision support expert knowledge base en
dc.type Dissertation en


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