Abstract
Decision support depends on the effective management of several types of knowledge [2]. Beyond the descriptive knowledge (i.e., data, information) with which management information systems are concerned, decision support systems are also able to manage procedural knowledge. A procedure, also called a model, specifies an algorithm that tells how to derive new knowledge in the sense of facts, expectations, or beliefs. Thus a decision support system (DSS) normally has a knowledge system capable of holding both data and models. The DSS’s software is a problem processing system that can manipulate the knowledge system contents in response to user requests. These requests must be valid statements in the DSS’s language system which defines the syntax, grammar, and semantics of a language that the problem processor can understand. The generic DSS structure is illustrated in Figure 1.
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© 1988 Springer-Verlag Berlin Heidelberg
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Holsapple, C.W., Whinston, A.B. (1988). The Environment Approach to Decision Support. In: Mitra, G., Greenberg, H.J., Lootsma, F.A., Rijkaert, M.J., Zimmermann, H.J. (eds) Mathematical Models for Decision Support. NATO ASI Series, vol 48. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83555-1_31
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DOI: https://doi.org/10.1007/978-3-642-83555-1_31
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