Paper Info
Title
Fuzzy weights of evidence method implemented in GeoDAS GIS for information extraction and integration for prediction of point events
Abstract
Fuzzy weights of evidence (FWofE) is a data integration method for predictive purpose in supporting decision-making. It is an extension of the ordinary weights of evidence method, which as an artificial intelligent method that has been commonly used in geographic information systems for information extraction and integration for prediction of point events on the basis of diverse spatial evidential layers. The FWofE method has been implemented in a newly developed GIS system - GeoData Analysis System (GeoDAS). FWofE as an artificial intelligent spatial decision support method has broad applications in planning, site selection and prediction of point events such as for mineral resources assessment in geology, prediction of spring and flowing wells in hydrology and planning, and prediction of distribution of diseases in health policy study. In the current paper, a case study of mineral potential prediction in southern Nova Scotia, Canada, is used to demonstrate the application of the GeoDAS and FWofE.
Year
DOI
Venue
2002
10.1109/IGARSS.2002.1026826
IGARSS
Keywords
Field
DocType
fuzzy systems,geographic information systems,geophysical prospecting,minerals,canada,geodas,geodas gis,geodata analysis system,artificial intelligent method,data integration method,diseases,flowing wells,fuzzy weights of evidence method,geology,health policy,hydrology,information extraction,mineral potential prediction,mineral resources assessment,planning,point event prediction,site selection,southern nova scotia,spatial decision support method,springs,statistical analysis,data integrity,artificial intelligence,mineral resources,data mining,geography,geoscience,artificial intelligent,geographic information system,economic forecasting
Data integration,Geographic information system,Data mining,Economic forecasting,Computer science,Fuzzy logic,Decision support system,Site selection,Information extraction,Fuzzy control system
Conference
Volume
Citations 
PageRank 
5
1
0.35
References 
Authors
0
2
Name
Order
Citations
PageRank
Qiuming Cheng15618.03
Shengyuan Zhang2827.38