This Brief presents the multi criteria decision making (MCDM) techniques like Fuzzy Analytical
Hierarchy Process (AHP) and Fuzzy Analytical Network Process (ANP) to find out the importance
of the influencing factors to develop the Climatic Vulnerability Index (CVI) that will
represent the vulnerability of the Hydro-Power Plant (HPP) to climatic abnormalities. The
cognitive ability of neuro-genetic modeling is applied to minimize CVI so that the conditions
required to reduce the effect of climate change on HPP can be identified. The results from the
study are found to be encouraging. The scarcity and pollution potential of conventional sources
of energy has enforced scientists worldwide to look for efficient flexible cost effective but
reliable alternative energy resources. Among many available options the energy extracted from
water was found to be the least expensive most flexible and moderately reliable renewable
energy source which has the potential to replace the dependency on conventional fuels.
