Contextual fuzzy cognitive map for decision support in geographic information systems

Author

Liu, Zhi-Qiang ; Satur, Richard

Author_Institution

Dept. of Comput. Sci., Melbourne Univ., Parkville, Vic., Australia

Volume

7

Issue

5

fYear

1999

fDate

10/1/1999 12:00:00 AM

Firstpage

495

Lastpage

507

Abstract

Fuzzy cognitive maps or FCMs have been shown to be useful when representing qualitative data. We have shown that these FCM structures can be used to represent quantitative and qualitative data. We illustrate this structure applied to geographic information system (GIS) applications. 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. The goal of this system is to use objects (topographical and conceptual) and their relationships, either supplied by census data or generated by the GIS and to map them as layers in the GIS. Using fuzzy membership functions from experiments with GIS users, we can construct CFCMs for decision support. This will also have significant applications in intelligent servants that are able to assist and interact with the human user

Keywords

decision support systems; fuzzy logic; fuzzy set theory; geographic information systems; inheritance; knowledge representation; object-oriented methods; census data; contextual fuzzy cognitive map; decision support; fuzzy membership functions; human expert knowledge; intelligent servants; maps; qualitative data; quantitative data; Australia; Computer vision; Data mining; Fuzzy cognitive maps; Fuzzy systems; Geographic Information Systems; Humans; Information systems; Machine intelligence; Statistics;

fLanguage

English

Journal_Title

Fuzzy Systems, IEEE Transactions on

Publisher

ieee

ISSN

1063-6706

Type

jour

DOI

10.1109/91.797975

Filename

797975