Project Ranking with Uncertainty using Multicriteria Decision Method and Fuzzy

Guilherme Marcondes

2022

Abstract

Decision-makers are frequently faced with the task of picking projects to be carried out. Generally, there aren’t enough resources to fund all of them. Because numerous criteria to be examined at the same time in this task, decision requires the assistance of a tool or approach. Multi-Criteria Decision-Making strategies can be helpful. However, as with all project estimation, uncertainty must be addressed. Using the TOPSIS method and fuzzy numbers, this article presents a way for incorporating uncertainty in project selection. It is exemplified by the application of selection method over a set of 11 real projects.

Paper Citation

in Harvard Style

Marcondes G. (2022). Project Ranking with Uncertainty using Multicriteria Decision Method and Fuzzy. In Proceedings of the 11th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-548-7, pages 131-136. DOI: 10.5220/0010804900003117

in Bibtex Style

@conference{icores22,
author={Guilherme Marcondes},
title={Project Ranking with Uncertainty using Multicriteria Decision Method and Fuzzy},
booktitle={Proceedings of the 11th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2022},
pages={131-136},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010804900003117},
isbn={978-989-758-548-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - Project Ranking with Uncertainty using Multicriteria Decision Method and Fuzzy
SN - 978-989-758-548-7
AU - Marcondes G.
PY - 2022
SP - 131
EP - 136
DO - 10.5220/0010804900003117