Fuzzy cognitive maps (FCMs) have been widely applied to analyze complex, causal-based
systems in terms of modeling, decision making, analysis, prediction, classification, etc. This …

Fuzzy Cognitive Maps (FCMs) are widely used to simulate complex systems. However, they
cannot handle nonlinear relationships or time delays/lags, nor can they fully represent …

Pharmaceutical warehouses are among the centers that play a critical role in the delivery of
medicines from the producers to the consumers. Especially with the new drugs and vaccines …

Evaluating and selecting proper suppliers in the healthcare centers due to their high impact
on the financial situation and citizens' satisfaction is vital. The abundance of various criteria …

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 …

Nowadays, fuzzy cognitive maps (FCMs) are one of the most efficient artificial intelligence
techniques for modeling large and complex systems. However, traditional FCMs have the …

Air temperature (AT) prediction can play a significant role in studies related to climate
change, radiation and heat flux estimation, and weather forecasting. This study applied and …

A hybrid method based on the structural equation model (SEM) and a fuzzy cognitive map
(FCM) was developed to study the influences of the construction safety risks (CSR) of metro …

The main objective of this paper is to handle the trajectory tracking control for a class of three-
wheel mobile robot by using a novel adaptive robust control. The mobile robot consists of …

In this paper, we provide a complete framework for the design of genetically evolved
cognitive tracking controller based on interval type‐2 (IT2) fuzzy cognitive map (FCM). We …