Add to ORKGAbstract: This short paper presents the overview of an ongoing project which goal is to obtain and simulate the dynamics of qualitative systems through the combination of the properties of Fuzzy Boolean Networks and Fuzzy Rule Based Cognitive Maps. 1
The map comprises concepts or nodes (A, B, C, and D) and weighted causal links (W).</p
Economic models are complex dynamic systems with a lot of uncertainties and fuzzy data. Conventional...
A generic system for simulating complex dynamical systems along the paradigm of fuzzy cognitive maps...
Fuzzy Cognitive Maps (FCMs) were developed as a tool for capturing and modelling the behaviour of qu...
Many papers describe the use of Fuzzy Cognitive Maps as a modeling/representation technique for real...
Fuzzy cognitive maps (FCMs) form an important class of models for describing and simulating the beha...
This paper presents Learning Fuzzy Cognitive Maps (LFCM) as a new paradigm, or approach, for modelin...
The main problem in efficiently building robust fuzzy-neural models of nonlinear systems lies in the...
© 2016 Elsevier B.V. Fuzzy Cognitive Maps (FCM) are a promising approach for socio-ecological system...
Abstract. A fuzzy cognitive map is a graphical means of representing arbitrarily complex models of i...
A fuzzy cognitive map (FCM) is a heuristic alternative to causal modeling; a graphical means of repr...
The new computing paradigm known as cognitive computing attempts to imitate the human capabilities o...
This paper investigates a new theory, Fuzzy Cognitive Map (FCM) Theory, and its implementation in mo...
The fuzzy cognitive map (FCM) has gradually emerged as a powerful paradigm for knowledge representat...
AbstractFuzzy cognitive map is a soft computing technique for modeling systems, which combines syner...
The map comprises concepts or nodes (A, B, C, and D) and weighted causal links (W).</p
Economic models are complex dynamic systems with a lot of uncertainties and fuzzy data. Conventional...
A generic system for simulating complex dynamical systems along the paradigm of fuzzy cognitive maps...
Fuzzy Cognitive Maps (FCMs) were developed as a tool for capturing and modelling the behaviour of qu...
Many papers describe the use of Fuzzy Cognitive Maps as a modeling/representation technique for real...
Fuzzy cognitive maps (FCMs) form an important class of models for describing and simulating the beha...
This paper presents Learning Fuzzy Cognitive Maps (LFCM) as a new paradigm, or approach, for modelin...
The main problem in efficiently building robust fuzzy-neural models of nonlinear systems lies in the...
© 2016 Elsevier B.V. Fuzzy Cognitive Maps (FCM) are a promising approach for socio-ecological system...
Abstract. A fuzzy cognitive map is a graphical means of representing arbitrarily complex models of i...
A fuzzy cognitive map (FCM) is a heuristic alternative to causal modeling; a graphical means of repr...
The new computing paradigm known as cognitive computing attempts to imitate the human capabilities o...
This paper investigates a new theory, Fuzzy Cognitive Map (FCM) Theory, and its implementation in mo...
The fuzzy cognitive map (FCM) has gradually emerged as a powerful paradigm for knowledge representat...
AbstractFuzzy cognitive map is a soft computing technique for modeling systems, which combines syner...
The map comprises concepts or nodes (A, B, C, and D) and weighted causal links (W).</p
Economic models are complex dynamic systems with a lot of uncertainties and fuzzy data. Conventional...
A generic system for simulating complex dynamical systems along the paradigm of fuzzy cognitive maps...