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A Fuzzy Based Modeling for Assessment of Soil Degradation Due to E-Wastes

Sria Biswas

All discarded wastes generated from electrical and electronic products are known collectively as e-waste. Out of all kinds of wastes that directly dispose of in the landfill, e-wastes are now most rapidly increasing sources of wastes in the world even though various recycling and reusable efforts are given to minimize the volume of it. In most of the city, sanitary landfill are not practiced rather wastes are dumping crudely in open landfill[7]. As a result soil gets highly contaminated due to the presence of lead, mercury, cadmium and other toxic substances in the e-wastes. At present no scientific tool or methods are available to an engineer to asses the quantification of soil degradation of a landfill except the process of Environmental Impact Assessment (EIA)[5,6].But EIA is a prediction method where an expert has certainly a limitation of knowledge or intellectual functionaries for his perception. Because the data available around the periphery of landfill are not always crisp or precise rather linguistic and hedges viz. “good”, “very good”, “bad”, “low”, “high”, “severe”, “less”, etc. to list a few only out of infinity. Evaluation of many objects here is not possible with numerical valued descriptions because uncertainty is an integral part of prediction of any such data[1]. This paper deals with a methodology of “vague fuzzy EIA‟ for assessment of soil degradation with degree of certainty.