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Fuzzy Logic pp 311-325 | Cite as

P-Expert: A Prototype Expert Advisory System in the Management and Control of Parthenium Weed in Central Queensland

  • Andrew Chiou
  • Xinghuo Yu
  • John Lowry
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 81)

Abstract

This paper discusses the problem of Parthenium weed infestation in Queensland and describes P-Expert, an expert advisory system designed to provide expert knowledge in control and management strategies of Parthenium weed. P-Expert is fundamentally a hybrid fuzzy expert system incorporating technologies from fuzzy logic, relational database and multimedia systems. The primary topic of this paper will be a description of the framework of P-Expert, focussing on three main areas: (1) Layered component architecture — each component of the expert advisory system is designed as modules to facilitate maintenance, adaptability and flexibility, (2) Discourse semantics (explanatory capabilities) — provision for explanation and justifying outputs given by the expert advisory system, and (3) Meta-consequent — mapping final aggregated output from a fuzzy If-Then rule onto a finite database.

Keywords

Expert System Inference Process Explanatory Capability Fuzzy Expert System Explanation Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Andrew Chiou
    • 1
  • Xinghuo Yu
    • 1
  • John Lowry
    • 2
  1. 1.Faculty of Informatics and CommunicationCentral Queensland UniversityRockhamptonAustralia
  2. 2.Land ResourcesQueensland Department of Natural ResourcesRockhamptonAustralia

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