A fuzzy logic approach to analyzing water quality could help reduce the number of people in the developing world forced to drink polluted and diseased water for survival. Writing in a forthcoming issue of the International Journal of Environmental Technology and Management, an Inderscience publication, researchers from the University of Malaya, explain how a new approach to water quality assessment uses fuzzy logic to combine disparate problems and provide a more accurate indicator of overall quality.