Context Gathering Mobile Agents to Assist in Resource Reservation for Inter-technology Hand-off
MATA '01 Proceedings of the Third International Workshop on Mobile Agents for Telecommunication Applications
Knowledge map: mathematical model and dynamic behaviors
Journal of Computer Science and Technology
The Use of Cognitive Maps and Case-Based Reasoning for B2B Negotiation
Journal of Management Information Systems
Goal-oriented decision support based on fuzzy cognitive map
SMO'07 Proceedings of the 7th WSEAS International Conference on Simulation, Modelling and Optimization
Multi-expert opinions combination based on evidence theory
SMO'07 Proceedings of the 7th WSEAS International Conference on Simulation, Modelling and Optimization
CAKES-NEGO: Causal knowledge-based expert system for B2B negotiation
Expert Systems with Applications: An International Journal
A cognitive map-driven avatar design recommendation DSS and its empirical validity
Decision Support Systems
Using fuzzy cognitive map for system control
WSEAS TRANSACTIONS on SYSTEMS
Partitioning study of complex system
WSEAS TRANSACTIONS on SYSTEMS
Adaptive estimation of fuzzy cognitive maps with proven stability and parameter convergence
IEEE Transactions on Fuzzy Systems
Electronic Commerce Research and Applications
Research on set pair cognitive map model
ICICA'10 Proceedings of the First international conference on Information computing and applications
An agent-based cognitive mapping system for sales opportunity analysis
Expert Systems with Applications: An International Journal
ACIIDS'11 Proceedings of the Third international conference on Intelligent information and database systems - Volume Part II
Ontological semantic inference based on cognitive map
Expert Systems with Applications: An International Journal
| Hi-index | 0.00 |
Designing a system that is able to make use of quantitative and qualitative data for real world applications is a challenging problem. Traditional systems produce representational descriptions that are often not very useful to the human expert. To rectify this problem we propose a structure based on contextual fuzzy cognitive maps (CFCMs) for geographic information systems (GISs). Our framework builds this structure using both spatial and temporal information to gain quantitative and qualitative descriptions. In addition, these cognitive maps are able to provide generalized descriptions that reflect relationships between landmarks. Such a scheme is capable of producing cognitive descriptions similar to those a human expert might derive and use. In the paper, we illustrate the types of CFCMs we can generate using real census data, human expert knowledge, and quantitative data in the form of maps in a GIS. For a given goal, our system structure is hierarchical by context, multilayered by variations in data over periods of time, and semi-qualitative in that the CFCMs build causal links and relationships between landmarks and concepts