Application of Knowledge-based Tools in Environmental Decision Support Systems
David C.L. Lam,
David Swayne,
Yohannes Mariam,
Isaac Wong and
Philip Fong
MPRA Paper from University Library of Munich, Germany
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.
Keywords: decision support system; knowledge-based system; expert system; causal network (search for similar items in EconPapers)
JEL-codes: C61 C65 C88 Q5 Q52 Q53 Q57 (search for similar items in EconPapers)
Date: 1997, Revised 1997
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/648/1/MPRA_paper_648.pdf original version (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:648
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().