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Consistency conditions of the expert rule set in the probabilistic pattern recognition

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2004) 3314 831-836
DOI: 10.1007/978-3-540-30497-5_129
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Abstract

The present paper is devoted to the pattern recognition procedure based on the set of expert rules with unprecisely formulated weights understood as appropriate probabilities. Adopting the probabilistic model the different interpretations of rule weight are discussed and the consistency conditions of set of rules are given. © Springer-Verlag 2004.

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Kurzynski, M. W. (2004). Consistency conditions of the expert rule set in the probabilistic pattern recognition. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3314, 831–836. https://doi.org/10.1007/978-3-540-30497-5_129

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