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A Petri Net Model for Evaluation of Expert Systems in Organizations.

Perdu, D.M.; Levis, A.H.

In: Automatica, Vol. 27, No. 2, pages 225-237. March 1991.

Abstract: A new Petri net model of symbolic computation with fuzzy logic is presented to describe the dynamics of consultant expert systems. Then a quantitative methodology is presented for assessing to what extent the measures of performance of an organization are modified when an expert system is introduced. An example problem involving a hierarchical two decision maker organization, where the expert system is used as an aid in the fusion of inconsistent information, is described. Measures of performance are evaluated. The results show that the strategy involving the use of the expert system improves significantly the accuracy of the organization.

Keywords: net models (for) expert system evaluation; fuzzy logic; performance (of organizations); inconsistent information.


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