Application of rough sets theory to the sequential diagnosis
ISBMDA'06 Proceedings of the 7th international conference on Biological and Medical Data Analysis
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In this paper two possibilities of taking into account the dependencies in the sequential pattern recognition task are considered. The first method is naive Bayes attempt adopted to the probabilistic model of sequential decision problem in which, the assumption of Markov dependence in the sequence of recognized patterns is made. The second one is the fuzzy relation approach, in which we omitted such not necessary correct assumptions. Furthermore, both methods were applied to the medical diagnostic task and the results of computer investigations are discussed.