FCMpy is an open-source Python module for building and analyzing Fuzzy Cognitive Maps
(FCMs). The module provides tools for end-to-end projects involving FCMs. It is able to …

Fuzzy Cognitive Maps (FCMs) have become a suitable and proven knowledge-based
methodology for systems modeling and simulation. This technique is especially attractive …

Fuzzy cognitive maps (FCMs) form an important class of models for describing and
simulating the behavior of dynamic systems through causal reasoning. Owing to their …

Fuzzy cognitive maps (FCMs), as an illustrative causative representation of modeling and
manipulation of complex systems, can be used to model the dynamic behavior of the …

Abstract Fuzzy Cognitive Maps (FCM), as defined originally, are limited in their capacity to
model real-world scenarios, due to the rather simple representation of causal relationships …

This survey makes a review of the most recent applications and trends on fuzzy cognitive
maps (FCMs) over the past decade. FCMs are inference networks, using cyclic digraphs, for …

The challenging problem of complex systems modeling methods with learning capabilities
and characteristics that utilize existence knowledge and human experience is investigated …

Fuzzy Cognitive Maps (FCMs) constitute an attractive knowledge-based methodology,
combining the robust properties of fuzzy logic and neural networks. FCMs represent causal …

Abstract Fuzzy Cognitive Maps (FCMs) are computational models that represent how factors
(nodes) change over discrete steps based on causal impacts (weighted directed edges) …

Fuzzy cognitive maps (FCMs) are knowledge-based neural systems comprised of causal
relations and well-defined neural concepts. Since their inception three decades ago, FCMs …