Abstract
The Fuzzy Cognitive Map (FCM) has emerged as a convenient and powerful soft modeling tool since its proposal. During the last nearly 30 years, Fuzzy Cognitive Maps have gained considerable research interests and have been applied to many areas. The advantageous modeling characteristics of FCMs encourage us to investigate the FCM structure, attempting to broaden the FCM functionality and applicability in real world. In this paper, the main representation and inference characteristics of conventional Fuzzy Cognitive Maps are investigated, and also the current state of the extensions of FCMs, learning algorithms for FCMs is introduced and summarized briefly.
Author supplied keywords
Cite
CITATION STYLE
Wang, Y., & Zhang, W. (2015). A brief survey on Fuzzy Cognitive Maps research. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9227, pp. 159–166). Springer Verlag. https://doi.org/10.1007/978-3-319-22053-6_18
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
