Fuzzy Cognitive Map (FCM) modelling is highly suitable for the demands of future studies: it uses a mix of qualitative and quantitative approaches, it enables the inclusion of multiple and diverse sources to overcome the limitations of expert opinions, it considers multivariate interactions that lead to nonlinearities, and it aims to make implicit assumptions (or mental models) explicit. Despite these properties, the field of future studies is slow to adopt FCM and to apply the increasingly solid theoretical foundations and rigorous practices for FCM applications that are evolving in other fields. This paper therefore discusses theoretical and practical aspects of constructing and applying FCMs within the context of future studies: based on...
© 2016 Elsevier B.V. Fuzzy Cognitive Maps (FCM) are a promising approach for socio-ecological system...
Lack of information and large uncertainties can constrain the effectiveness and acceptability of env...
Lack of information and large uncertainties can constrain the effectiveness and acceptability of env...
Capítulo del libro "Czarnowski I., Howlett R., Jain L. (eds) Intelligent Decision Technologies 2019....
For many classes of problems it is difficult to make decisions, assessments or develop plans based o...
Fuzzy Cognitive Map Modeling is a system modeling approach that has its roots in social science and ...
A fuzzy cognitive map (FCM) is a directed graph representing concepts and their causal relationships...
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 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 heuristic alternative to causal modeling; a graphical means of repr...
In this paper, is proposed the use of fuzzy cognitive maps in the representation of the students' me...
Abstract- Fuzzy cognitive maps (FCM) are useful tool for simulating and analyzing dynamic systems. T...
In this paper, is proposed the use of fuzzy cognitive maps in the representation of the students' me...
In this paper, is proposed the use of fuzzy cognitive maps in the representation of the students' me...
© 2016 Elsevier B.V. Fuzzy Cognitive Maps (FCM) are a promising approach for socio-ecological system...
Lack of information and large uncertainties can constrain the effectiveness and acceptability of env...
Lack of information and large uncertainties can constrain the effectiveness and acceptability of env...
Capítulo del libro "Czarnowski I., Howlett R., Jain L. (eds) Intelligent Decision Technologies 2019....
For many classes of problems it is difficult to make decisions, assessments or develop plans based o...
Fuzzy Cognitive Map Modeling is a system modeling approach that has its roots in social science and ...
A fuzzy cognitive map (FCM) is a directed graph representing concepts and their causal relationships...
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 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 heuristic alternative to causal modeling; a graphical means of repr...
In this paper, is proposed the use of fuzzy cognitive maps in the representation of the students' me...
Abstract- Fuzzy cognitive maps (FCM) are useful tool for simulating and analyzing dynamic systems. T...
In this paper, is proposed the use of fuzzy cognitive maps in the representation of the students' me...
In this paper, is proposed the use of fuzzy cognitive maps in the representation of the students' me...
© 2016 Elsevier B.V. Fuzzy Cognitive Maps (FCM) are a promising approach for socio-ecological system...
Lack of information and large uncertainties can constrain the effectiveness and acceptability of env...
Lack of information and large uncertainties can constrain the effectiveness and acceptability of env...