Fuzzy weights of evidence method implemented in GeoDAS GIS for information extraction and integration for prediction of point events

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.