The paper is devoted to fuzzy cognitive modeling, which is an effective tool for studying semistructured socio-economic systems. The emphasis is on the process of developing …
LA Ginis - Mediterranean Journal of Social Sciences, 2015 - repository.ineu.edu.kz
The paper aimed to consideration of a problem of modeling of complex systems. The use of fuzzy cognitive maps for modeling and the analysis of functioning of complex systems is …
G Feng, W Lu, J Yang - Algorithms, 2021 - mdpi.com
A novel design method for time series modeling and prediction with fuzzy cognitive maps (FCM) is proposed in this paper. The developed model exploits the least square method to …
In this paper, we address some shortcomings of Fuzzy Cognitive Maps (FCMs) in the context of time series prediction. The transparent and comprehensive nature of FCMs provides …
T Yu, Q Gan, G Feng - PeerJ Computer Science, 2021 - peerj.com
Background The real time series is affected by various combinations of influences, consequently, it has a variety of variation modality. It is hard to reflect the variation …
H Song, C Miao, W Roel, Z Shen… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
The fuzzy cognitive map (FCM) has gradually emerged as a powerful paradigm for knowledge representation and a simulation mechanism that is applicable to numerous …
As a powerful paradigm for knowledge representation and a simulation mechanism applicable to numerous research and application fields, Fuzzy Cognitive Maps (FCMs) have …
W Lu, J Yang, X Liu, W Pedrycz - Knowledge-Based Systems, 2014 - Elsevier
The time series prediction models based on fuzzy set theory have been widely applied to diverse fields such as enrollments, stocks, weather and etc., as they can handle prediction …
L Ginis, G Gorelova… - IV International research …, 2017 - atlantis-press.com
The article describes the cognitive and simulation metamodel and modern cognitive tools developed for modeling socioeconomic systems. The tools are presented by crisp and fuzzy …