Title :
An adaptive fuzzy model for risk assessment of mercury pollution in the Amazon
Author :
Veiga, Marcello M. ; Meech, John A.
Author_Institution :
Madison do Brasil, Rio de Janeiro, Brazil
Abstract :
The application of a fuzzy logic-based expert system to assess mercury bioaccumulation risk in gold mining regions around the World is described. HgEx is a heuristic system which accommodates imprecise data for pH, Eh, water conductivity, biomass productivity, water transparency and contamination factor. Inaccurate data input can be handled for Hg background and sediment assays, or alternatively, measurements are transformed into linguistic expressions with respective degrees of belief to feed a heuristic model using neural equations. The paper presents a fuzzy adaptive method and show how it can be applied to model situations such as AIDS research, technological innovation and other risk-assessment problems
Keywords :
adaptive systems; ecology; expert systems; fuzzy logic; fuzzy systems; mercury (metal); mining; risk management; water pollution control; Amazon; HgEx; adaptive fuzzy model; bioaccumulation; biomass productivity; contamination factor; fuzzy logic-based expert system; gold mining; heuristic expert system; mercury pollution; risk assessment; sediment assays; water conductivity; water transparency; Biomass; Conductivity; Expert systems; Fuzzy logic; Fuzzy systems; Gold; Hybrid intelligent systems; Productivity; Risk management; Water pollution;
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
DOI :
10.1109/ICSMC.1995.538008
