Prioritization of rail system projects by using FUZZY AHP and PROMETHEE
Prioritization of rail system projects by using FUZZY AHP and PROMETHEE
Istanbul stands out as a center with a high population density, similar to the large metropolitan areas of Europe. The traffic and population density increase in Istanbul makes it attractive for people to use the rail system for public transportation. In this study, the economic and financial evaluation of the rail system projects is made in terms of the municipality. Furthermore, the social-environmental review, public demand, and urgent needs were also considered. Thus, selecting the best alternative was evaluated for a better solution to reducing traffic congestion and meeting people's needs. MCDM (Multi-Criteria Decision-Making) techniques are often used in prioritization, ranking, and finding the best alternative. This paper used a combination of the F-AHP (Fuzzy Analytical Hierarchy Process) and the PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation) method. Three main criteria and ten sub-criteria were used to evaluate 33 alternative projects where three experts determined criteria weights.
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