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Multi-Criteria Analysis (MCA) has found many applications in both technical and research sectors. MCA is a way to break the problem into more practicable elements, to permit data and decisions to be judgements to support the elements, and make the right decision. The aim of this paper is to analyze, compare, and make decisions of various current, and future scenarios of different quantifiable indicators for different considerations and various socio-economic aspects. Furthermore, this analysis is used to improve or at least to preserve the environment and natural resources in the basin. In this study an application by a real data set is made, these data are evaluated and extracted from classified satellite images of Loukkos basin, the classification of this satellite images regroups several classes of the data set such as agglomeration, dams, watercourses, croplands, bare soils and forests … etc. In reality, these data come from different sources like watershed information system (drinking water supply, irrigation system), transportation infrastructures (roads, dams), natural resources (Water, soils, and vegetation), human activities (agriculture, urbanization, and industry) and different socio-economic factors (demography). The main objective of this work is sorting the environmental indicators using the ELECTRE TRI tool, where ten alternatives are considered. We focus the classification of the real data set into the altitude, and the combined surface area factors. The obtained results prove that the classification is stable and the multi-criteria approach ELECTRE-TRI is suitable to a better sorting of the environmental indicators for the Loukkos Basin located in Morocco.

The Classification of the Environmental Indicators using ELECTRE TRI Method for Loukkos Basin in Morocco