Multiple criteria data envelopment analysis for full ranking units associated to environment impact assessment

摘要: The importance of the environmental impact assessment (EIA) large development projects is increasingly underlined. Usually, EIA involves a lot qualitative and quantitative criteria. Data envelopment analysis (DEA), an effective method that used to rank select best alternative from set alternatives, not tailored address criteria, thus rendering application multiple criteria problems amenable. This paper presents new methodology data (MCDEA), which can both MCDEA divided into two stages for fully ranking units each unit has inputs outputs. In first stage, applied compare performance alternatives. Then, alternatives by considering relative membership degree factors as one data. A case study on selection dam location illustrates effectiveness proposed methodology.