Novel Fuzzy Composite Indicators for Locating a Logistics Platform under Sustainability Perspectives

The purpose of this paper is to help decision-makers choose the location a logistics platform with sustainability perspectives. This study presents compensatory and partially approach build composite indicators, using mainly fuzzy multi-criteria decision-making methods. In first instance, full consistency method (F-FUCOM) was used calculate weight criteria sub-criteria. second two aggregation methods, namely multi-attribute ideal-real comparative analysis (F-MAIRCA) preference ranking organization for enrichment evaluation (F-PROMETHEE), were rank platform. novelty work lays in studying impact limited weak on respect, various criterion indicators an innovative interesting locate obtained results show that economic most important selection platform, followed by environmental criterion. Obviously, F-MAIRCA F-PROMETHEE methods provided same orders. Finally, sensitivity analyses performed validate robustness proposed approach.