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A prototype DSS for structuring and diagnosing managerial problems

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3 Author(s)
Mohammed, N.H.A. ; King Fahd Univ. of Pet., Dahran, Saudi Arabia ; Courtney, J.F., Jr. ; Paradice, D.B.

A methodology for managerial problem recognition, structuring, and diagnosis is presented. The system integrates diagnostic concepts from artificial intelligence with database management and structural modeling techniques. Given an organizational database, a user specifies control bounds for selected data items and causal relationships between variables in the database. Structural modeling techniques are used to represent knowledge of causal relations. If a control variable's value is out of bounds, structural models are used in an attempt to diagnose (explain) the discrepancy. If the discrepancy is explained, a diagnosis is at hand. If not, the user's model is somewhat deficient and what-if analysis can be used to construct an improved model. This methodology has been implemented in a prototype decision support system (DSS) that is described, along with an example of its use

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Systems, Man and Cybernetics, IEEE Transactions on  (Volume:18 ,  Issue: 6 )