Complex systems can be effectively modelled by fuzzy cognitive maps. Fuzzy cognitive
maps (FCMs) are network-based models, where the connections in the network represent …

Abstract Quasi-Nonlinear Fuzzy Cognitive Maps (q-FCMs) generalize the classic Fuzzy
Cognitive Maps (FCMs) by incorporating a nonlinearity coefficient that is related to the …

Fuzzy cognitive maps and statistical reasoning are considered from the standpoint of
explainable artificial intelligence. This approach means that today the artificial intelligence …

This chapter gives a short introduction to Fuzzy Cognitive Maps (FCMs). It starts with the
origin and first applications of Cognitive Maps, then describes the theoretical background of …

Methods of linear regression analysis are applied to fuzzy cognitive map construction
according to history data from the standpoint of quantitative human sciences. When the …

Fuzzy cognitive maps are studied from the quantitative human-scientific standpoint. The
concepts and weights of these maps are thus examined as statistical random variables …

In this Chapter, we will discuss two further case studies, namely, problems that were
proposed by a French bank. Our team was involved by the request of a French university …

The authors have already presented their method for reducing oversized FCM models, and
also have analyzed the prediction error of the reduced models. These investigations …