Abstract
The paper offers a method for respondents' behavior modeling based on data about last episodes adjacent to interview and proposes improved techniques of modeling and processing of initial data uncertainty based on hybrid probabilistic and fuzzy approaches. This paper provides analytical (including asymptotic) analysis of these estimates and numerical behavior rate estimates according to the model. Software supplements enabling to fulfill numerical experiments realizing the proposed processing procedures were worked out.
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