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P-Expert: A prototype expert advisory system in the management and control of parthenium weed in Central Queensland

Version 2 2022-03-27, 23:26
Version 1 2021-01-14, 21:59
chapter
posted on 2022-03-27, 23:26 authored by Andrew ChiouAndrew Chiou, J Lowry, Xinghuo YuXinghuo Yu
This paper discusses the problem of Parthenium weed infestation in Queensland and describes P-Expert, and 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.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Editor

Dimitrov V; Korotkich V

Start Page

311

End Page

325

Number of Pages

15

ISBN-10

3790814253

Publisher

Physica-Verlag

Place of Publication

Heidelberg, Germany.

Open Access

  • No

External Author Affiliations

Department of Natural Resources; Faculty of Informatics and Communication;

Era Eligible

  • No

Number of Chapters

27

Parent Title

Fuzzy logic: A framework for the new millennium