Abstract
The “shallow” rasoning of traditional rule-based systems is inadequate for modelling management decision making. To develop intelligent decision support systems. We require the “deep” reasoning involved in qualitative data modelling. Unfortunately, most work in the area of qualitative data modelling has concerned itself with physical phenomenn or objects. Non-physical systems are difficult to handle because the parameters are non-deterministic and the results are unpredictable. To do this, we need to consider two important tasks - to establishing an expert domain based on a comprehensive organizational theory; and developing qualitative reasoning to interface with the database.
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Yuen, H.S., Ho, S., Zeleznikow, J. (1992). Adding qualitative reasoning to an organizational database for management decision support. In: Papazoglou, M.P., Zeleznikow, J. (eds) The Next Generation of Information Systems: From Data to Knowledge. IJCAI 1991. Lecture Notes in Computer Science, vol 611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-55616-8_42
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DOI: https://doi.org/10.1007/3-540-55616-8_42
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