Method for Verifying the Logical Correctness of Experts' Evaluative Knowledge

Today there are three main concepts of the interpretation of probability: the epistemological concept, objective probability and subjective probability. Unlike objective probability, subjective probability we can interpret as a prediction of the occurrence of some event in the future, for which either we do not have statistical data, or for one reason or another, this event cannot be repeated. The subjective probability of events is interpreted as a set of valuated knowledge by an expert (or a group of experts). Expert valuations are often incomplete and inconsistent with each other. Thus, a tool for checking the agreed of expertise is needed.In this paper, we consider the formalization of subjective interpretations of probability in the language of the theory of Fuzzy Models. We formulate a criterion for the logical agreed of evaluative knowledge received from experts. Next, we describe various properties of agreed evaluative knowledge, consider the concept of a minimal Fuzzy Model agreed with a given evaluative knowledge, and explore the criterion for the uniqueness of such a model.