Fuzzy cognitive maps (FCMs) keep growing in popularity within the scientific community.
However, despite substantial advances in the theory and applications of FCMs, there is a …

Abstract Fuzzy Cognitive Maps (FCMs) have proven to be a suitable methodology for the
design of knowledge-based systems. By combining both uncertainty depiction and cognitive …

In this paper we propose a new approach to learning fuzzy cognitive maps (FCMs) as a
predictive model for time series forecasting. The first contribution of this paper is the dynamic …

Abstract Fuzzy Cognitive Maps (FCM) are Recurrent Neural Networks that are used for
modeling complex dynamical systems using causal relations. Similarly to other recurrent …

In the context of Continuous Auditing, different approaches have been proposed to
incorporate data analytics to accomplish a continuous audit environment. Some work …

Abstract Fuzzy Cognitive Maps (FCMs) are considered a soft computing technique
combining elements of fuzzy logic and recurrent neural networks. They found multiple …

The main purpose of three-way decisions with interval-valued decision-theoretic rough sets
is to make decisions by minimizing interval-valued expected loss functions. Since the set of …

Fuzzy cognitive networks (FCNs) arose from traditional fuzzy cognitive maps (FCMs) to have
the advantage of guaranteed convergence to equilibrium points, thus being more suitable …

Stream computing paradigm, with the characteristics of real-time arrival and departure, has
been admitted as a major computing paradigm in big data. Relevant theories are flourishing …

In order to explore a unified theory of three-way decisions proposed by Yao, Hu introduced
three-way decision spaces through an axiomatic method, established the corresponding …