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Application of Knowledge-based Tools in Environmental Decision Support Systems

Lam, David C.L.; Swayne, David; Mariam, Yohannes; Wong, Isaac and Fong, Philip (1997): Application of Knowledge-based Tools in Environmental Decision Support Systems. Unpublished.

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Abstract

Decision support system often requires the combined knowledge of multiple domains. A knowledge-based approach is proposed to include not only the process modelling knowledge but also the descriptive knowledge in the integration. Descriptive knowledge such as survey statistics and expert opinions forms the core of a study on the uncertainty of the combined knowledge. It was found that the use of expert systems, neural network and belief causal network assist greatly in the implementation of these concepts. Examples are drawn from the combination of scientific and economic knowledge to solve some acid rain problems.

Item Type:MPRA Paper
Language:English
Keywords:decision support system; knowledge-based system; expert system; causal network
Subjects:Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics > Q5 - Environmental Economics
C - Mathematical and Quantitative Methods > C6 - Mathematical Methods and Programming > C61 - Optimization Techniques; Programming Models; Dynamic Analysis
Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics > Q5 - Environmental Economics > Q53 - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics > Q5 - Environmental Economics > Q57 - Ecological Economics: Ecosystem Services; Biodiversity Conservation; Bioeconomics; Industrial Ecology
C - Mathematical and Quantitative Methods > C6 - Mathematical Methods and Programming > C65 - Miscellaneous Mathematical Tools
Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics > Q5 - Environmental Economics > Q52 - Pollution Control Costs; Distributional Effects; Employment Effects
C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology; Computer Programs > C88 - Other Computer Software
ID Code:648
Deposited By:Yohannes Mariam
Deposited On:02. Nov 2006
Last Modified:25. Jul 2011 16:27
References:

Goldberg, D.F, 1989. Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, Reading, MA., U.S.A.

Jensen, EN., Chamberlain, B., Nordahl, T. and Jensen, F 1990. Bayesian updating in causal probabilistic networks by local computation. Computational Statistics Quarterly, 4:269-282.

Loin, D.C.L., Swayne, D.A., Wong, I. and Fong, p. 1996. Advances in environmental information system: expert System and neural Network Applications. in Lasker, G.E (Ed.): Advances in databases and expert systems. Vol. III, IJAS Publications, Baden-Baden, Germany, pp.1-5.

Lam, D.C.L., Puckett, K.J., Wong, Moran, M.D., Fenech, G., Jefferies, J.S., Olson, M.P., Whelpdale, D.M., McNicoll, D., Mariam, Y.K.G., and Minns, K.1997. An Integrated Acid Rain Assessment Model for Canada: from Emission to Ecological Impacts. Submitted to Water Quality Res, J. Can.

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