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 …

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 …

In an increasingly digital world, almost anything can now be done through a computer or
smartphone. Digital entrepreneurship is capitalizing on this trend, which brings numerous …

The fuzzy cognitive map (FCM) is an effective tool for modeling dynamic decision support
systems. It describes the analyzed phenomenon in the form of key concepts and the causal …

Hybrid artificial intelligence deals with the construction of intelligent systems by relying on
both human knowledge and historical data records. In this paper, we approach this problem …

People are increasingly concerned about environmental issues. This concern presents new
challenges for companies and impels them to incorporate environmental sustainability into …

The emergence of startups and their influence on a country's economic growth has become
a significant concern for governments. The failure of these ventures leads to substantial …

Fuzzy Cognitive Maps (FCMs) are graph-based simulation models commonly used to model
complex systems. They are often built by participants and aggregated to compare the …

This paper aims to present a fuzzy cognitive map (FCM) controller on multiple autonomous
mobile robots (multirobot system) in order to complete a foraging task in semiunknown …

Surgical flow disruptions (SFDs) are the deviations from the natural progression of an
operation in the operating rooms (ORs). Some tools and methodologies have been …