IWRM: Approach of Intuitionistic Fuzzy-Eia for Selection of Best Catchment Area

The approach of Integrated Water resources Management (IWRM) implies that the water should be managed alongside the management of environmental impact of it's co-dependent natural resources, namely soil, forests, air and biota and it should be applied at catchment levels for sustainable ecosystem [4]. The all catchment area of an IWRM are under consideration of several impacts due to environmental as well as non-environmental factors [3,4]. Thus environmental impact assessment (EIA) plays an important role for evaluation of those impacts and enable the IWRM to augment the positive effects of it. For any EIA, statistical analysis via sampling survey is a powerful tool to know the people thought as well as expert's perception. But all the information so obtained from various sources are involve with full of uncertainty & hedges like “high flood area”, “poor sanitation”, etc. Naturally, every decision-maker hesitates more or less, on every evaluation activity [5]. Because some part of his perception contributes to truth ness and rest part contributes to falseness. So uncertainty is a major factor for such evaluation which could be solved by using a powerful mathematical tool of fuzzy logic. In this paper we present a methodology of intuitionistic fuzzy EIA (IF-EIA) successfully for optimal solution of best catchment area out of n alternatives. To understand the methodology, a hypothetical case study is presented here.