Rough set theory a promising instrument for diagnosis and prediction including pollution phenomena

Abstract

The paper presents the use of Rough Set Theory (acronym RST) as a new emerging instrument to support the environmental decision in uncertainty conditions. New developed methodologies for environmental pollution diagnosis and prediction and their use in environmental impact/risk assessment are presented. Those methodologies can be successfully used to make prediction regarding pollution phenomena and seems to be a promising simple instrument to be implemented in order to adapt the measures to be taken in adequate time during incidental/accidental discharge so that pollution plume concentration (regardless the pollution type) to be estimated.