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

Volume

2

fYear

1995

fDate

22-25 Oct 1995

Firstpage

1640

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICSMC.1995.538008

Filename

538008