Forest road route determination is a complex process in which a number of variables should be analyzed simultaneously and it is one of the most important process steps for forest road projects. For this purpose, the factors that are effective on forest road routes should be primarily determined. The effects of each factor should be determined as a weighting coefficient and they should be evaluated and analyzed as a whole. Since the factors with impact on forest road routes are considered a necessity, the management of intense spatial data sets emerges. The analysis of such intense data sets and obtaining quick and accurate results are possible by way of decision support systems known as Geographic Information Systems (GIS). In this study, forest road route determination was carried out using a decision-support system called FOROR (Forest Road Route) developed by us which is a raster-based system, based on GIS technologies. FOROR software is an application that combines GIS and MCDM principles. Manuel provides long-term analysis and benchmarking. Visual Studio and Devoloper for ArcGIS had been used for creating FOROR. ArcPy, Python programming language had been used at FOROR. In this context, the factors that are effective on forest road routes were determined after which the necessary geographic data layers were identified based on these factors which were then classified according to the standards. For this application, Analytical Hierarchy Process (AHP), Simple Additive Weighting (SAW), Fuzzy Overlay, Promethee and TOPSIS methods of Multi-Criteria Decision Methods (MCDM) were used. Study area is located at Black Sea region of Turkey. Analyses were performed using five different methods for the determination of forest routes; five different routes were found accordingly and these routes were compared to each other as well as to the existing road. The advantages provided by MCDM with support of Geographic Information System for forest road route determination were put forth as a result of the study.