An Intuitionistic Fuzzy Stochastic Decision-Making Method Based on Case-Based Reasoning and Prospect Theory

Abstract EN

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 illustrative examples are provided to illustrate the implementation process and applicability of the developed method.