FUZZY ANALYSIS FOR ASSESSMENT OF RIVER WATER QUALITY

Sonal Bhugra, Sria Biswas

Abstract: River water gets polluted due to rapid industrialization and urbanization with inadequate cognizance to the implementation of pollution control measures. Due to asymmetric occurrence of pollutants at various locations of the river the environmental impact assessment (EIA) has an important role in defining river water quality. At present experts are facing lots of problems to decide for a proposed development project based on the laboratory test results only. Because no tool are available to them which can give precise information or knowledge for taking best decision in favour of the project except the process of EIA[4,6]. But in EIA, most of the parametric information or data are not always crisp or precise rather linguistic and hedges viz. “good discharge”, “less turbidity”, “high pH”, “low BOD”, etc. to list a few only out of infinity. All such type of data are fuzzy in nature naturally evaluation of such fuzzy data is not possible with numerical valued description. As human beings every decision-maker hesitates more or less on every evaluation activity because some part of his evaluation contributes to truthness, some part to falseness and rest part may be indeterministic to him[3]. So uncertainty is the great problems to an experts while taking any decision. In this paper a methodology of Fuzzy EIA has been studied using the logic of Intuitionistic Fuzzy Set (IFS)[1] theory for assessment of river water quality with degree of certainty.

Keywords: fuzzy-EIA, IFS, mean fuzzy set, uncertainty, union fuzzy set, etc.

DOI: https://doi.org/10.15623/ijret.2015.0401034