Integrated expert advisory system for control and management of parthenium weed infestation
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[1] A. Gisolfi,et al. Constructing and consulting the knowledge base of an expert systems shell , 1993 .
[2] Itsuo Hatono,et al. Fuzzy expert system shells , 1994, Proceedings Sixth International Conference on Tools with Artificial Intelligence. TAI 94.
[3] Suzana Dragicevic,et al. Spatio-Temporal Interpolation and Fuzzy Logic for GIS Simulation of Rural-to-Urban Transition , 1999 .
[4] Izak Benbasat,et al. Explanations From Intelligent Systems: Theoretical Foundations and Implications for Practice , 1999, MIS Q..
[5] Xinghuo Yu,et al. Exploring the Explanatory Capabilities of Intelligent System Technologies , 2002 .
[6] P. K. Chande,et al. Design of a fuzzy expert system development shell , 1995, Proceedings for Operating Research and the Management Sciences.
[7] K. Hiroshi,et al. Fuzzy expert system shell LIFE FEShell-working environment , 1993, 1993 (2nd) International Symposium on Uncertainty Modeling and Analysis.
[8] Susan E. Weaver,et al. Weed Thresholds: Theory and Applicability , 1999, Expanding the Context of Weed Management.
[9] M. Rejmánek. Invasive plants: approaches and predictions , 2000 .
[10] R. Norris. Ecological Implications of Using Thresholds for Weed Management , 1999 .
[11] B. A. Auld,et al. INVADE: Towards the simulation of plant spread , 1990 .
[12] Kwong-Sak Leung,et al. An expert-system shell using structured knowledge: an object-oriented approach , 1990, Computer.
[13] M. L. Roush,et al. SEARCHING FOR SOLUTIONS TO WEED PROBLEMS : DO WE STUDY COMPETITION OR DISPERSION ? , 1993 .
[14] Johanna D. Moore,et al. Explanations in knowledge systems: design for explainable expert systems , 1991, IEEE Expert.
[15] Göran Forslund. Designing for flexibility: a case study , 1995 .
[16] Tomohiro Takagi,et al. LIFE fuzzy expert system shell , 1990, [1990] Proceedings. First International Symposium on Uncertainty Modeling and Analysis.
[17] Kun Chang Lee,et al. Integration of human knowledge and machine knowledge by using fuzzy post adjustment: its performance in stock market timing prediction , 1995 .