Fuzzy Logic and Statistical Based Modelling to Predict Rural Solid Waste Generation of West Bengal

Abstract

Waste generation prediction is a vital component to planning of rural solid waste management. Based on the past statistical data mathematical model can be develop but incorporation of new data cannot be done. In this situation advance model need to be developed, which can predict. Fuzzy logic may be one option for develop such model because dynamic and linguistic date can be used as an input parameter. A mathematical model has been developed to predicting the total. Rural waste generation using fuzzy logic if west Bengal study area. House hold, population, per capita income, district wise domestic product, literacy rate were considered as an independent variable for predicting rural solid waste generation. To described the dependent and independent variable triangular and trapezoidal shaped membership function are used. To described the defuzzification centroid method has been applied. Initially two input variables have been used to identify the correlation with rural solid waste generation Finally all input variable considered for the mathematical model. Per-capita waste generation in rural west Bengal average 150 to 300 gm/day. The statistical analysis rebuilds that age group wise population and income model is the best fitted model.