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)


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.


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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  1. 1.
    Abu-Hakima, S. (1991). Generating Hypermedia Explanations: Workshop Notes on Intelligent Multimedia Interfaces. Ninth National Conference on Artificial Intelligence (AAAI-91). Anaheim: 63–68.Google Scholar
  2. 2.
    Adamson, D. C. (1996). Determining the Economic Impact of Parthenium on the Australian Beef Industry: A Comparison of Static and Dynamic Approaches. MSc Thesis. Brisbane, University of Queensland.Google Scholar
  3. 3.
    Anon (1998). “Parthenium Weed: Parthenium hysterophorus.” DNR Pest Facts.Google Scholar
  4. 4.
    Armstrong, T. R. and L. C. On (1984). Parthenium hysterophorus Control with Knockdown and Residual Herbicides. Proceedings of the Seventh Australian Weeds Conference. Sydney, Academic Press. 2: 8–13.Google Scholar
  5. 5.
    Berkan, R. C. and S. L. Trubatch (1997). Fuzzy Systems Design Principles: Building Fuzzy IF-THEN Rule Bases,IEEE Press.Google Scholar
  6. 6.
    Butler, J. E. (1984). “Longevity of Parthenium hysterophorus L. Seed in the Soil.” Australian Weeds 3: 6.Google Scholar
  7. 7.
    Chippendale, J. F. and F. D. Panetta (1994). “The Cost of Parthenium Weed to the Queensland Cattle Industry.” Plant Protection 9: 73–76.Google Scholar
  8. 8.
    Condon (1992). Management Remains the Key to Parthenium Control. Queensland Country Life: 23.Google Scholar
  9. 9.
    Dale, I. J. (1981). “Parthenium Weed in the Americas.” Australian Weeds 1: 8–14.Google Scholar
  10. 10.
    Dhileepan, K. and R. E. McFadyen (1997). Biological Control of Parthenium in Australia: Progress and Prospects. Proceedings of the First International Conference on Parthenium Management. Dharwad, University of Agricultural Sciences. 1: 40–44.Google Scholar
  11. 11.
    Dologite, D. G. and R. J. Mockler (1994). “Designing the User Interface of a Strategy Planning Advisory System: Lessons Learned.” International Journal of Applied Expert Systems 2 (1): 3–21.Google Scholar
  12. 12.
    Forslund, G. (1995). “Designing for Flexibility: A Case Study.” Expert Systems 12 (1): 27–37.MathSciNetCrossRefGoogle Scholar
  13. 13.
    Gisolfi, A. and W. Balzano (1993). “Constructing and Consulting the Knowledge Base of an Expert Systems Shell.” Expert Systems 10 (1): 2935.CrossRefGoogle Scholar
  14. 14.
    Goel, S., V. K. Modi, et al. (1995). Design of a Fuzzy Expert System Development Shell. Proceedings of 1995 IEEE Annual International Engineering Management Conference: 343–346.Google Scholar
  15. 15.
    Gregor, S. and I. Benbasat (1999). “Explanations from Intelligent Systems: Theoretical Foundations and Implications for Practice.” MIS Quarterly 23 (4): 497–530.CrossRefGoogle Scholar
  16. 16.
    Gregor, S. and X. Yu (2000). Exploring the Explanatory Capabilities of Intelligent System Technologies. Second International Discourse With Fuzzy Logic In The New Millennium. Mackay, Australia, Physica-Verlag: (current volume).Google Scholar
  17. 17.
    Haseler, W. H. (1976). “Parthenium hysterophorus L. in Australia.” PANS 22: 515–517.Google Scholar
  18. 18.
    Lee, K. C. and W. C. Kim (1995). “Integration of Human Knowledge and Machine Knowledge by Using Post Adjustment: its Performance in Stock Market Timing Prediction.” Expert Systems 12 (4): 331–338.CrossRefGoogle Scholar
  19. 19.
    Leung, K. S. and M. H. Wong (1990). “An Expert-System Shell Using Structured Knowledge: An Object-Oriented Approach.” Computer 23 (3): 38–46.CrossRefGoogle Scholar
  20. 20.
    McFadyen, R. E. (1995). “Parthenium Weed and Human Health in Queensland.” Australian Family Physician 24: 1455–1459.Google Scholar
  21. 21.
    Miyoshi, T., H. Koyama, et al. (1990). LIFE Fuzzy Expert System Shell. Proceedings of the First International Symposium on Uncertainty Modelling and Analysis: 196–201.Google Scholar
  22. 22.
    Navie, S. C., R. E. McFadyen, et al. (1996). “The Biology of Australian Weeds 27. Parthenium hysterophorus L.” Plant Protection 11(2): 76–88.Google Scholar
  23. 23.
    Parsons, W. T. and E. G. Cuthbertson (1992). Noxious Weeds of Australia. Melbourne, Inkata Press.Google Scholar
  24. 24.
    Pracht, W. E. (1986). “A Graphical Interactive Structural Modelling Aid for Decision Support Systems.” IEEE Transactions on Systems, Man, and Cybernetics 16 (2): 265–270S.CrossRefGoogle Scholar
  25. 25.
    Ragusa, J. M. and E. Turban (1994). “Integrating Expert Systems and Multimedia: A Review of the Literature.” International Journal of Applied Expert Systems 2 (1): 54–71.Google Scholar
  26. 26.
    Shiraz, G. M., P. Compton, et al. (1998). FROCH: A Fuzzy Expert System with Easy Maintenance. IEEE International Conference on Systems, Man, and Cybernetics 1998. 3: 2113–2118.Google Scholar
  27. 27.
    Suh, C.-K. and E.-H. Suh (1993). “Using Human Factor Guidelines for Developing Expert Systems.” Expert Systems 10 (3): 151–156.CrossRefGoogle Scholar
  28. 28.
    Swain, T. and C. A. Williams (1977). Heliantheae - Chemical Review. The Biology and Chemistry of the Compositae. V. H. Heywood, J. B. Harbone and B. L. Turner. London, Academic Press. 2.Google Scholar
  29. 29.
    Swanton, C. J., S. Weaver, et al. (1999). Weed Thresholds: Theory and Applicability. Expanding the Context of Weed Management. D. D. Buhler. New York, Food Product Press: 9–29.Google Scholar
  30. 30.
    Swartout, W., C. Paris, et al. (1991). “Explanations in Knowledge Systems: Design for Explainable Expert Systems.” IEEE Expert 6 (3): 58–64.CrossRefGoogle Scholar
  31. 31.
    Szuprowica, B. O. (1991). “The Multimedia Connection.” Expert Systems: Planning/Implementation/Integration 2 (4): 59–63.Google Scholar
  32. 32.
    Tsutomu, M., K. Hiroshi, et al. (1993). Fuzzy Expert System Shell LIFE FEShell-Working Environment. Proceedings of the Second International Symposium on Uncertainty Modelling and Analysis: 153–160.Google Scholar
  33. 33.
    Tudor, G. D., A. L. Ford, et al. (1981). Taints in Meat from Sheep Grazing Parthenium Weed. Proceedings of the Sixth Australian Weeds Conference.Google Scholar
  34. 34.
    Umano, M., I. Hatono, et al. (1994). Fuzzy Expert System Shells. Proceedings of the Sixth International Conference on Tools with Artificial Intelligence: 219–225.Google Scholar
  35. 35.
    Walton, C. (1999). Queensland Parthenium Strategy 1999–2004, Queensland Department of Natural Resources: 2–15.Google Scholar
  36. 36.
    Williams, J. D. and R. H. Groves (1980). “The Influence of Temperature and Photoperiod on Growth and Development of Parthenium hysterophorus L.” Weed Res. 20: 47–52.CrossRefGoogle Scholar
  37. 37.
    Yu, X. and J. B. Lowry (1999). A Computerised Intelligent Planning Support System for Forest Landuse Assessment: 1999 Strategic Partnerships with Industry — Research and Training (SPIRT) Application. Rockhampton, Australian Research Council/Department of Employment, Education, Training and Youth Affairs: (unpublished report).Google Scholar

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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