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

Autor: V. Mohagheghi, S.M. Mousavi, M. Aghamohagheghi, B. Vahdani
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: International Journal of Computational Intelligence Systems, Vol 10, Iss 1 (2017)
Druh dokumentu: article
ISSN: 1875-6883
DOI: 10.2991/ijcis.2017.10.1.41
Popis: 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.
Databáze: Directory of Open Access Journals