A fuzzy knowledge-based decision support system for groundwater pollution risk evaluation.
In this paper we propose a decision support system that can provide information on the environmental impact of anthropic activities by examining their effects on groundwater quality. We use the combined value of both intrinsic vulnerability of a specific local aquifer, obtained by implementing a parametric managerial model (SINTACS), and a degree of hazard value, which takes into account specific human activities. Incomplete information is notoriously common in environmental planning. To overcome this deficiency we apply an algorithmic and a qualitative approach, based on expert judgment incorporated into the system's knowledge base. The decision support system takes into account the uncertainty of the environmental domain by using fuzzy logic and evaluates the reliability of the results according to information availability.
Water Research Institute, Italian National Research Council, Department of Bari, Via De Blasio 5, 70123 Bari, Italy.
Vito F
VF
Uricchio
Raffaele
R
Giordano
Nicola
N
Lopez
D000465:Algorithms; D003661:Decision Support Techniques; D017143:Fuzzy Logic; D019083:Mediterranean Region; D018570:Risk Assessment; D012989:Soil Pollutants / Q000506:poisoning*; D014873:Water Pollutants / Q000506:poisoning*; D014881:Water Supply
D012989:Soil Pollutants; D014873:Water Pollutants