Add to ORKGWe present an extension of the fuzzy cognitive map knowledge representation, based on fuzzy numbers, to improve the management of uncertainty related to linguistic expressions. In this regard, we also review the fuzzy causal algebra and outline the opportunities for applications
Fuzzy cognitive maps (FCMs) form an important class of models for describing and simulating the beha...
Fuzzy cognitive maps (FCMs) theory is a powerful approach to modeling human knowledge based on causa...
Cognitive maps have been used for analysing and aiding decision-making by investigating causal links...
A fuzzy cognitive map (FCM) is a heuristic alternative to causal modeling; a graphical means of repr...
A fuzzy cognitive maps (FCM) is a cognitive map within the relations between the elements. FCM has b...
A Fuzzy Cognitive Map (FCM) is a causal knowledge graph connecting concepts using directional and we...
A Fuzzy Cognitive Map (FCM) is a causal knowledge graph connecting concepts using directional and we...
Classical fuzzy logic does not allow the implementation of causal relations as defined in causal map...
Fuzzy cognitive maps (FCMs), as an illustrative causative representation of modeling and manipulatio...
Fuzzy cognitive maps (FCMs) are widely used fuzzy modeling tools for handling causal interdependenci...
Abstract: Fuzzy Cognitive Maps (FCMs) can represent and reason causal knowledge with stronger semant...
Typically, complex systems such as socio-ecological systems are ambiguous and ill-defined due to hum...
The fuzzy cognitive map (FCM) has gradually emerged as a powerful paradigm for knowledge representat...
This paper presents an extension of a hybrid method for modelling Fuzzy Cognitive Maps (FCMs), which...
Fuzzy cognitive maps (FCM) and Bayesian belief networks (BBN) are two of the most frequently used ca...
Fuzzy cognitive maps (FCMs) form an important class of models for describing and simulating the beha...
Fuzzy cognitive maps (FCMs) theory is a powerful approach to modeling human knowledge based on causa...
Cognitive maps have been used for analysing and aiding decision-making by investigating causal links...
A fuzzy cognitive map (FCM) is a heuristic alternative to causal modeling; a graphical means of repr...
A fuzzy cognitive maps (FCM) is a cognitive map within the relations between the elements. FCM has b...
A Fuzzy Cognitive Map (FCM) is a causal knowledge graph connecting concepts using directional and we...
A Fuzzy Cognitive Map (FCM) is a causal knowledge graph connecting concepts using directional and we...
Classical fuzzy logic does not allow the implementation of causal relations as defined in causal map...
Fuzzy cognitive maps (FCMs), as an illustrative causative representation of modeling and manipulatio...
Fuzzy cognitive maps (FCMs) are widely used fuzzy modeling tools for handling causal interdependenci...
Abstract: Fuzzy Cognitive Maps (FCMs) can represent and reason causal knowledge with stronger semant...
Typically, complex systems such as socio-ecological systems are ambiguous and ill-defined due to hum...
The fuzzy cognitive map (FCM) has gradually emerged as a powerful paradigm for knowledge representat...
This paper presents an extension of a hybrid method for modelling Fuzzy Cognitive Maps (FCMs), which...
Fuzzy cognitive maps (FCM) and Bayesian belief networks (BBN) are two of the most frequently used ca...
Fuzzy cognitive maps (FCMs) form an important class of models for describing and simulating the beha...
Fuzzy cognitive maps (FCMs) theory is a powerful approach to modeling human knowledge based on causa...
Cognitive maps have been used for analysing and aiding decision-making by investigating causal links...