International Journal of Man-Machine Studies
Signal flow graphs vs fuzzy cognitive maps in application to qualitative circuit analysis
International Journal of Man-Machine Studies
A relational model of cognitive maps
International Journal of Human-Computer Studies
Fuzzy cognitive maps: a model for intelligent supervisory control systems
Computers in Industry - ASI 1997
Reasoning and unsupervised learning in a fuzzy cognitive map
Information Sciences—Informatics and Computer Science: An International Journal
Nonlinear inertia weight variation for dynamic adaptation in particle swarm optimization
Computers and Operations Research
Unsupervised learning techniques for fine-tuning fuzzy cognitive map causal links
International Journal of Human-Computer Studies
Expert Systems with Applications: An International Journal
Augmented fuzzy cognitive maps for modelling LMS critical success factors
Knowledge-Based Systems
A new hybrid method using evolutionary algorithms to train Fuzzy Cognitive Maps
Applied Soft Computing
Differential evolution and particle swarm optimisation in partitional clustering
Computational Statistics & Data Analysis
Greenhouse air temperature predictive control using the particle swarm optimisation algorithm
Computers and Electronics in Agriculture
Genetic learning of fuzzy cognitive maps
Fuzzy Sets and Systems
A study of particle swarm optimization particle trajectories
Information Sciences: an International Journal
Interpreting the web-mining results by cognitive map and association rule approach
Information Processing and Management: an International Journal
A causal knowledge-based expert system for planning an Internet-based stock trading system
Expert Systems with Applications: An International Journal
Bi-linear adaptive estimation of Fuzzy Cognitive Networks
Applied Soft Computing
From fuzzy cognitive maps to granular cognitive maps
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
A dynamic fuzzy cognitive map applied to chemical process supervision
Engineering Applications of Artificial Intelligence
Hi-index | 12.05 |
Cognitive maps and fuzzy cognitive maps offer interesting and transparent modeling capabilities by functioning at a level of conceptual entities (nodes) and their relationships expressed either at the qualitative level of excitatory/inhibitory relationships or being further numerically quantified as encountered in fuzzy cognitive maps. While there has been a vast array of conceptual enhancements, a relatively less attention has been paid to the design of the maps especially when dealing with an algorithmic way of forming the map. The objective of this study is to offer a design strategy in which starting with experimental evidence in the form of numeric data, those data are transformed into a finite and small number of concepts (nodes) of the map and afterwards the connections of the map are estimated. We show that techniques of Granular Computing, especially fuzzy clustering are effectively used to form concepts (nodes) of well-articulated semantics. In the sequel, we show the use of global optimization in the form of Particle Swarm Optimization (PSO) to carry out calibration of the connections of the interrelationships between the nodes of the map. Numeric examples are concerned with the representation of time series and their visualization in the form of fuzzy cognitive maps. Further interpretation of the maps is also discussed.