IMPROVING THE QUALITY OF DECISION MAKING, IN THE STATISTICAL RECOGNITION SYSTEM BASED ON A COMPREHENSIVE CONSIDERATION IN THEIR DECISIVE RULES, ALL THE INFORMATION FROM THE MATRIX OF THE PROBABILITY OF RECOGNIZING THE OBJECTS CLAReport as inadecuate




IMPROVING THE QUALITY OF DECISION MAKING, IN THE STATISTICAL RECOGNITION SYSTEM BASED ON A COMPREHENSIVE CONSIDERATION IN THEIR DECISIVE RULES, ALL THE INFORMATION FROM THE MATRIX OF THE PROBABILITY OF RECOGNIZING THE OBJECTS CLA - Download this document for free, or read online. Document in PDF available to download.

1 The Office of National Security and Defense Council of Ukraine,Ukraine 2 Odessa State Academy of Technical Regulation and Quality 3 Research and Production Enterprise «TZHK», Ukraine

Abstract : In the vast majority of the existing statistical systems of recognition, decisions are made based on the probability of correct recognition of object classes, and the probability of their mixing up is not taken into account or taken into account not comprehensively, partially or indirectly.To recognize the object classes it is offered options of integrating recording of all the information that is contained in the matrix of conditional probabilities of recognition.

Keywords : statistical recognition detection probability matrix the probability distribution function informativity of signs rules for descision-making the weighting coefficient





Author: Valery Timkov - Gennady Bratchenko - Vladimir Zhukov -

Source: https://hal.archives-ouvertes.fr/



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