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, (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.
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Chiou, A., Yu, X. P-Expert: Implementation and Deployment of Large Scale Fuzzy Expert Advisory System. In: K. Halgamuge, S., Wang, L. (eds) Classification and Clustering for Knowledge Discovery. Studies in Computational Intelligence, vol 4. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11011620_11
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DOI: https://doi.org/10.1007/11011620_11
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26073-8
Online ISBN: 978-3-540-32404-1
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