Expert system: Mushroom species / Nur Fuhaizah Mohammad Fawzi

Nur Fuhaizah, Mohammad Fawzi (2004) Expert system: Mushroom species / Nur Fuhaizah Mohammad Fawzi. Undergraduates thesis, University of Malaya.

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    Expert Systems are computer programs that use artificial intelligence to solve problems within a specialized domain that ordinarily requires human expertise. A very important aspect of helping mycologist with diagnosis of the mushroom health effects is the identification itself by using only the visible feature of the mushroom. Their identification, although very important, is often difficult. This thesis addresses this problem by providing an expert system that takes into consideration various factors about the mushroom, and presents identification as a possible solution. In order to achieve the purpose, the system uses Prolog, a logic programming. In this paper, chapter one outlines the introduction of the system. Chapter two describes the literature review. Chapter three discusses more details methodology. System analysis is described in chapter four. Chapter five describes the system design. Implementations are shown in chapter six and testing in chapter seven. Finally, chapter eight gives the conclusion.

    Item Type: Thesis ( Undergraduates)
    Additional Information: Academic Exercise (Bachelor’s Degree) – Faculty of Computer Science & Information Technology, University of Malaya, 2003/2004.
    Uncontrolled Keywords: Artificial intelligence; Expert system; Mushroom species; Health effects
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Q Science > QA Mathematics > QA76 Computer software
    Divisions: Faculty of Computer Science & Information Technology
    Depositing User: Mr Mahadie Ab Latif
    Date Deposited: 08 Jul 2021 13:45
    Last Modified: 08 Jul 2021 13:45

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