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Contextual fuzzy cognitive maps for geographic information systems

TitreContextual fuzzy cognitive maps for geographic information systems
Type de publicationConference Paper
Nouvelles publications1999
AuteursSatur, R., and Zhi-Qiang Liu
Nom du typeFuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International
Année de publication1999
Mots clésApplication software, causal links, Communication cables, Computational Intelligence Society, Computer science, Computer vision, concepts, contextual fuzzy cognitive maps, Fuzzy cognitive maps, fuzzy logic, fuzzy set theory, Geographic Information Systems, hierarchical structure, Humans, knowledge based systems, landmarks, Machine intelligence, multi-layered structure, semi-qualitative structure, Software engineering

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 GIS systems. For a given goal, our system structure is hierarchical by context, multi-layered by variations in data over periods of time, and semi-qualitative in that the CFCMs build causal links and relationships between landmarks and concepts.