In this paper we present a tool for description, and for simulation of dynamic system. Our starting point is the aggregation concept, which was developed for multicriteria decision making. Using a continuous logic operator and proper transformation of sigmoid function we build positive and negative effects. From the input with the aggregation operator we calculate the output effect. This algorithm is comparable with the concept of fuzzy cognitive maps. We show this new technique, which could be much more efficient then the FCM
Abstract: This short paper presents the overview of an ongoing project which goal is to obtain and s...
Abstract- Fuzzy cognitive maps (FCM) are useful tool for simulating and analyzing dynamic systems. T...
Fuzzy cognitive maps (FCMs) theory is a powerful approach to modeling human knowledge based on causa...
A generic system for simulating complex dynamical systems along the paradigm of fuzzy cognitive maps...
The new computing paradigm known as cognitive computing attempts to imitate the human capabilities o...
This paper presents Learning Fuzzy Cognitive Maps (LFCM) as a new paradigm, or approach, for modelin...
Fuzzy cognitive maps (FCMs), as an illustrative causative representation of modeling and manipulatio...
Typically, complex systems such as socio-ecological systems are ambiguous and ill-defined due to hum...
Fuzzy Cognitive Maps (FCMs) were developed as a tool for capturing and modelling the behaviour of qu...
Cognitive maps have been used for analysing and aiding decision-making by investigating causal links...
Abstract.- A cognitive map is a graphical representation of mental beliefs of an underlined entity b...
Cognitive maps (CMs), fuzzy cognitive maps (FCMs), and dynamical cognitive networks (DCNs) are relat...
AbstractFuzzy cognitive map is a soft computing technique for modeling systems, which combines syner...
This paper investigates a new theory, Fuzzy Cognitive Map (FCM) Theory, and its implementation in mo...
The theory of fuzzy cognitive maps (FCMs) is a powerful approach to modeling human knowledge that is...
Abstract: This short paper presents the overview of an ongoing project which goal is to obtain and s...
Abstract- Fuzzy cognitive maps (FCM) are useful tool for simulating and analyzing dynamic systems. T...
Fuzzy cognitive maps (FCMs) theory is a powerful approach to modeling human knowledge based on causa...
A generic system for simulating complex dynamical systems along the paradigm of fuzzy cognitive maps...
The new computing paradigm known as cognitive computing attempts to imitate the human capabilities o...
This paper presents Learning Fuzzy Cognitive Maps (LFCM) as a new paradigm, or approach, for modelin...
Fuzzy cognitive maps (FCMs), as an illustrative causative representation of modeling and manipulatio...
Typically, complex systems such as socio-ecological systems are ambiguous and ill-defined due to hum...
Fuzzy Cognitive Maps (FCMs) were developed as a tool for capturing and modelling the behaviour of qu...
Cognitive maps have been used for analysing and aiding decision-making by investigating causal links...
Abstract.- A cognitive map is a graphical representation of mental beliefs of an underlined entity b...
Cognitive maps (CMs), fuzzy cognitive maps (FCMs), and dynamical cognitive networks (DCNs) are relat...
AbstractFuzzy cognitive map is a soft computing technique for modeling systems, which combines syner...
This paper investigates a new theory, Fuzzy Cognitive Map (FCM) Theory, and its implementation in mo...
The theory of fuzzy cognitive maps (FCMs) is a powerful approach to modeling human knowledge that is...
Abstract: This short paper presents the overview of an ongoing project which goal is to obtain and s...
Abstract- Fuzzy cognitive maps (FCM) are useful tool for simulating and analyzing dynamic systems. T...
Fuzzy cognitive maps (FCMs) theory is a powerful approach to modeling human knowledge based on causa...