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Multi Criteria Decision Making Approach and Clustering Technique for Dam Site Selection

Identification of dam sites is a strategic priority in water management scheme to preserve and conserve water. The selection of such sites relies on a number of biophysical as well as socio-economic factors. Clustering technique and several Multi Criteria Decision Making (MCDM) approach such as Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) provides valuable tools in the selection of suitable dam sites. This paper presents the application of TOPSIS and k-means clustering technique in the selection of dam site. We have used four criteria in selecting the dam site which were found to be influential criteria in such a problem through literature survey. Eight potential dam sites were selected in Tlawng watershed based on expert opinion and applied TOPSIS and k-means clustering methods to obtain the most ideal solution out of the eight potential dam sites. The computational time of TOPSIS in finding the ideal solution has been reduced when combined with k-means clustering method.