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SENSITIVITY OF A PRIORY LOGICAL PROBABILITY CONCLUSION IN INTELLECTUAL INFORMATIONAL SYSTEMS

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A method is proposed for estimation of the effect of initial data variation on an a priory conclusion in a fragment of algebraic Bayes net. The method is based on solution of a set of linear programming problems. An upper estimate is derived for conclusion sensitivity depending linearly on initial data variation radius.

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