This paper investigates a hybrid methodology that combines fuzzy logic and neural
networks, Fuzzy Cognitive Map (FCM), for modeling and controlling Supervisory Control …

Cognitive maps have been used for analysing and aiding decision-making by investigating
causal links among relevant domain concepts. A fuzzy cognitive map (FCM) is an extension …

This paper wants to be a compilation of the different existing classes of uninorms. From their
introduction, uninorms have been extensively studied not only as aggregation operators but …

Fuzzy Cognitive Maps (FCMs) is a new approach in modelling the behaviour and operation
of complex systems. FCMs are proposed to be used in the modelling of control systems and …

The uninorm operator class as defined by Yager, unifies the t-norm and t-conorm operator
classes and allows special kind of aggregation that depends on the identity element. In the …

Cognitive maps (CMs) and fuzzy cognitive maps (FCMs) are well-established techniques
that attempt to emulate the cognitive process of human experts on specific domains by …

Cognitive maps have been utilised in decision analysis in the past. More recently fuzzy
cognitive maps (FCMs) have been proposed as an alternative to knowledge-based expert …

Fuzzy Cognitive Maps (FCMs) have gradually emerged as a powerful modeling and
simulation technique applicable to numerous research and application fields. This primarily …

Cognitive map** was introduced as a method to model complex systems that reflects how
experts or stakeholders understand cause-and-effect relationships. Later, fuzzy cognitive …

Fuzzy cognitive map (FCM) is a powerful soft computing technique for modeling complex
systems. It is a combination of fuzzy logic theory and neural networks. Develo** of FCM is …