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DATA CONSISTENCY AND ALTERNATIVE PROBABILITY ESTIMATES IN A STOCHASTIC PREFERENCES CYCLE

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An approach is proposed to the problem of data consistency checking and estimation of alternative probabilities. The approach is based on conversion of stochastic preferences cycle into a fragment of knowledge in algebraic Bayesian network and subsequent probabilistic-logic decision. The proposed approach may be used in development of decision-making system support.

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