Rail Projects Ranking under Fuzzy Environment: Serbian Rail Projects Case Study

This article uses the case study of Pan-European Rail Corridor 10 through Serbia to propose a strategy for rail projects ranking. The authors note that project ranking in the public sector includes factors such as significant investments, restricted budgets, numerous stakeholders, conflicting relevant criteria, current state government, and politics in general. Project ranking is an important part of resource allocation, particularly in developing countries where the financial means are somewhat limited. The authors propose a hybrid two-stage framework for rail projects ranking that incorporates interval-valued fuzzy (IVF) sets with AHP and TOPSIS methods. They contend that IVF sets are an extension of traditional fuzzy sets, and offer better description of uncertainty and imprecision compared to traditional fuzzy sets. Sensitivity analysis applied to the case study showed that the proposed framework is relatively sensitive on criteria fuzzy weights change. The proposed framework can also be easily and effectively applied to multi-criteria decision-making (MCDM) problems from various fields that are characterized with vague and imprecise information and highly complex problems.

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  • English

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  • Accession Number: 01755432
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Oct 27 2020 12:20PM