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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References
J. Banerjee, et al., “Data Model Issues for Object-Oriented Applications,” ACM Transactions on Office Information Systems, vol. 5, no. 1, 1987.
R.H. Bonczek, C.W. Holsapple and A.B. Whinston, Foundations of Decision Support Systems, Academic Press, New York, 1981.
O. De Troyer, J. Kenstermans and R. Meersman, How Helpful Is an Object-Oriented Language for an Object-Oriented Database Model?, “ Proceedings of International Workshop on Object-Oriented Database Systems”, Pacific Grove, CA, 1986.
C.W. Holsapple, “Adapting Demons to a Knowledge Management Environment,” working paper, School of Management, Purdue University, 1986.
C.W. Holsapple and A.B. Whinston, “Aspects of Integrated Software,” Proceedings of the National Computer Science, Las Vegas, 1984. Reprinted in 1986 NCCProceedings.
C.W. Holsapple and A.B. Whinston, Business Expert Systems, Richard D. Irwin, Homewood, IL, 1986.
C.W. Holsapple and A.B. Whinston, “Knowledge Representation and Processing in Economics and Management,” Conference on Integrated Modeling Systems, Austin, 1986.
C.W. Holsapple and A.B. Whinston, “Knowledge-Based Organizations,”, Information Society, vol. 5, no. 2, 1987.
S.P. Reiss, “PECAN: Program Development Systems that Support Multiple Views”, “IEEE Transactions on Software Engineering”, vol. 11, no. 3, 1985.
R. Stansifer, P. Bhasker and A. Whinston, “Combining Deduction with Objects and Functions,” working paper, Computer Science Department, Purdue University, 1986.
W.A. Woods, “What’s in a Link: Foundations for Semantic Networks” in Representation and Understanding (eds., D. B. Bobrow and A. Collins), Academic Press, New York, 1975.
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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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