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