Abstract
This paper consists of two parts. In the first part a conceptual framework of knowledge-based DSS for financial decision making is discussed. Characteristics of the DSS technology and the expert system technology are described. Subsequently, as financial decision making to a large extent is diagnostic decision making, a diagnostic reasoning process is described in terms of conceptual structure, tasks, reasoning strategy and classification. Finally, a conceptual framework of a knowledge- based DSS supporting financial diagnostic tasks is described focusing on functional capabilities and systems architecture.
The second part describes an experimental expert system, BANKER, for bank loan evaluations. A systems overview is given and some aspects of the design tool EMYCIN, in which BANKER is implemented, is discussed. BANKER is currently being reprogrammed in PROLOG to be able to experiment with alternative search strategies.
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© 1987 Springer-Verlag Berlin Heidelberg
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Methlie, L.B. (1987). On Knowledge-Based Decision Support Systems for Financial Diagnostics. In: Holsapple, C.W., Whinston, A.B. (eds) Decision Support Systems: Theory and Application. NATO ASI Series, vol 31. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83088-4_12
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DOI: https://doi.org/10.1007/978-3-642-83088-4_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-83090-7
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