The Software to Analyze the States of Complex Systems under Uncertainty based on Fuzzy Belief Network Models
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We propose the fundamentals of the software for the analysis of states of complex systems by probabilistic inference methods based on fuzzy belief network models and their extensions. We introduce the concepts of fuzzy potentials and operations on them, develop mathematical tools of two-phase exact probabilistic inference and the procedure for evaluating and predicting the states of the system under study, and describe the architectural aspects of the computer implementation of the relevant information technology.
Keywordsfuzzy probability fuzzy potential belief network models fuzzy Bayesian networks fuzzy influence diagram network transformation probabilistic inference nodal tree information technologies
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