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

Content Provider	IEEE Xplore Digital Library
Author	Qiuming Cheng Shengyuan Zhang
Copyright Year	2002
Description	Author affiliation: Dept. of Earth & Atmos. Sci., York Univ., Toronto, Ont., Canada (Qiuming Cheng; Shengyuan Zhang)
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.
Sponsorship	IEEE IEEE Geosci. & Remote Sensing Soc. Canadian Remote Sensing Soc. Univ. Waterloo Natural Resources Canada (NRCan) Canadian Space Agency (CSA) Environ. Canada NASA Nat. Oceanic & Atmos. Adm. (NOAA) Office of Naval Res.(ONR) Nat. Space Dev. Agency of Japan (NASDA) Nat. Polar-orbiting Environ. Satellite Syst. (NPOESS)
Starting Page	2933
Ending Page	2935
File Size	325165
Page Count	3
File Format	PDF
ISBN	078037536X
DOI	10.1109/IGARSS.2002.1026826
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-06-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Geographic Information Systems Data mining Geology Artificial intelligence Mineral resources Diseases Statistical analysis Geoscience Geography Economic forecasting
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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