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Selecting transport project to invest is an important task. This paper offers a new sustainable transport investment selection approach that applies interval-valued fuzzy sets (IVFSs) to address uncertainty. Relative preference relation is employed to address importance of criteria. Judgments of experts are given a weight based on all the gathered judgments and the expertise of experts. Furthermore, the concept of Prospect theory is used to rank the alternatives. The approach is applied to a case study and the results are discussed.

the international journal of computational intelligence systems/international journal of computational intelligence systems

A new approach of multi-criteria analysis for the evaluation and selection of sustainable transport investment projects under uncertainty: A case study