The application of Fishburne sequences in cognitive hybrid decision support systems

In this paper, the role in the economy of a hybrid decision support system (DSS) is considered, including well-known methods and models. A review of publications on this topic is given. The development of cognitive economy at the present time is analyzed. The relevance to the inclusion of cognitive models in DSS is grounded. The role of the decision maker in modeling situations requiring knowledge of the laws of economic events is noted. To make managerial decisions that adequately take into account both the particulars of the current situation and the preferences of the decision maker, it is recommended to include methods using Fishburn sequences in the complex of models that make it possible to give a correct estimate of the distribution of a priori probabilities. The definitions of the basic concepts associated with Fishburn sequences are given. Fishburn sequences are proposed as a convenient tool for analyzing various economic situations in hybrid DSS. The general structure of the simplest cognitive hybrid DSS is presented.