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77-30569/350058 Method of mistake reduction in expert systems of interactive training systems
Engineering Education # 04, April 2012
 The authors propose a reduction method of fuzzy output mistakes in production expert systems (ES); this method doesn’t require modification of initial expert knowledge base. Sugeno algorithm was taken as a foundation of the proposed method. Error correcting at the stage of logic output using Faber-Schauder functions allowed to correct the fuzzy solution according to the requirements of control precedents without changing the initial definitions in the knowledge base of ES. The advantages of the Sugeno modified algorithm are shown by the example of ES for assessment of an airplane maneuver.
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