1Civil Engineering Department, National Institute of Technology, Agartala, Tripura.
2School of Water Resources Engineering, Jadavpur University, Kolkata-700032, West Bengal, India.
3Tripura Institute of Technology, Agartala, Tripura, India.
Rivers water are polluted due to asymmetric amount of pollutants adding continuously from different sources. Laboratory test result of each water parameter are not found in precise value rather makes a wide range of interval valued data. Thus a decision-maker (i.e. water quality expert) can't take decision properly whether the water quality of a particular river is excellent or good or not good. In most cases of judgments, evaluation is done by human beings (i.e water quality expert) where there is certainly a limitation of knowledge or intellectual functionaries. Naturally, every decision-maker hesitates more or less, on every evaluation activity. Because some part of his perception contributes truth ness and rest part contributes to falseness[1,8]. So uncertainty is a major factor in such evaluation which could be solved by using mathematical tool of fuzzy vague theory introduced by Gau and Buehrer [5]. The paper presents a modeling of uncertainties faced and encountered in the perception of water quality experts and consumers. To understand the methodology, a field case study is presented here.
Attributes, EIA, vague set, weighted average
