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P-Expert : implementation and deployment of large scale fuzzy expert advisory system

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posted on 2017-12-06, 00:00 authored by Andrew ChiouAndrew Chiou, X Yu
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 partheniurn 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 systern 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, (3) Metaconsequent - mapping final aggregated output from a fuzzy If-Then rule onto a finite database, and (4) Deployment of large scale advisory expert system.

Funding

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

History

Editor

Halgamuge SK; Wang L

Parent Title

Classification and clustering for knowledge discovery

Start Page

159

End Page

174

Number of Pages

16

ISBN-13

9783540260738

Publisher

Springer

Place of Publication

Netherlands

Open Access

  • No

External Author Affiliations

Faculty of Business and Informatics; RMIT University; TBA Research Institute;

Era Eligible

  • Yes

Number of Chapters

22

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