• Login
    • Login
    Advanced Search
    View Item 
    •   UoN Digital Repository Home
    • Theses and Dissertations
    • Faculty of Arts & Social Sciences, Law, Business Mgt (FoA&SS / FoL / FBM)
    • View Item
    •   UoN Digital Repository Home
    • Theses and Dissertations
    • Faculty of Arts & Social Sciences, Law, Business Mgt (FoA&SS / FoL / FBM)
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    A Prototype Expert System to Assist in Selecting Students Into the Different Specialization Options in the Faculty of Commerce

    Thumbnail
    View/Open
    Full Text. pdf (27.43Mb)
    Date
    1993
    Author
    Mbamba, Ulingeta O L
    Type
    Thesis
    Language
    en
    Metadata
    Show full item record

    Abstract
    This paper describes the construction of a prototype expert system to assist in selecting students into different specializations in the Faculty of Commerce University of Nairobi. The Management Science Option offered in the Department of Management Science was used as a case study. The expert system was constructed from scratch using Turbo Pascal as a programming language. The knowledge solicited from the experts, in this case lecturers in the concerned department, was represented in the expert system as production rules (IF ... THEN ... statements). The expert system developed makes useofa relatively small number of rules - twenty one. The proto typing methodology was ideally suited for constucting an effective expert system within the time available. The project report is divided into five sections. Section one introduces the topic and describes what an expert system is and how it works. Section two is devoted to literature review. The objective of the literature review is to give an over view of expert systems development. Section three discusses how the prototype expert system was constructed while section four reviews different stages passed while forging this model. Section five closes the discussion. One definite conclusion emerging from this work which may be relevant to other researchers is to recognize that the capture of expertise in any domain poses a challenge for expert systems development.
    URI
    http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/40129
    Citation
    Master of Bussiness Administration
    Publisher
    Univesity of Nairobi
     
    School of Bussiness
     
    Collections
    • Faculty of Arts & Social Sciences, Law, Business Mgt (FoA&SS / FoL / FBM) [24587]

    Copyright © 2022 
    University of Nairobi Library
    Contact Us | Send Feedback

     

     

    Useful Links
    UON HomeLibrary HomeKLISC

    Browse

    All of UoN Digital RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Copyright © 2022 
    University of Nairobi Library
    Contact Us | Send Feedback