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According to the case‐based reasoning method and prospect theory, this paper mainly focuses on finding a way to obtain decision‐makers’ preferences and the criterion weights for stochastic multicriteria decision‐making problems and classify alternatives. Firstly, we construct a new score function for an intuitionistic fuzzy number (IFN) considering the decision‐making environment. Then, we aggregate the decision‐making information in different natural states according to the prospect theory and test decision‐making matrices. A mathematical programming model based on a case‐based reasoning method is presented to obtain the criterion weights. Moreover, in the original decision‐making problem, we integrate all the intuitionistic fuzzy decision‐making matrices into an expectation matrix using the expected utility theory and classify or rank the alternatives by the case‐based reasoning method. Finally, two …