Abstract
Decision-making rarely involves the evaluation of a decision on a single criterion. On the contrary, decisions involve multiple criteria that very often may involve dimensions that are not easily quantified and moreover could include alternatives that have conflicting objectives. As a result, the field of Decision Support emerged with the purpose of assisting decision-makers to structure their problems and formalize the process on which the final decision will be based. The purpose of the chapter is to present one of the well-known decision aid methods: PROMETHEE. In the following pages, the method is presented starting from its mathematical foundation. Furthermore, the latest research trends and software applications are illustrated while finally, future research directions are explained and discussed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Some papers are related to more than one fields so the total percentage exceeds 100%
References
Roy, B. (2005). Paradigms and challenges. In Multiple criteria decision analysis: state of the art surveys (pp. 3–24). New York: Springer.
Belton, V., & Stewart, T. (2002). Multiple criteria decision analysis: An integrated approach. New York: Springer Science & Business Media.
Tsaples, G., Papathanasiou, J., & Ploskas, N. (2017). Integrating system dynamics with exploratory MCDA for robust decision-making. Lecture Notes in Business Information Processing, 282, 179–192.
Greco, S., Ehrgott, M., & Figueira, J. R. (2016). Multiple criteria decision analysis: State of the art surveys. New York: Springer.
Brans, J.-P., & Mareschal, B. (2005). PROMETHEE Methods. In Multiple criteria decision analysis: State of the art surveys (pp. 163–196). New York: Springer.
Gervásio, H., & Da Silva, L. (2012). A probabilistic decision-making approach for the sustainable assessment. Expert Systems with Applications, 39(8), 7121–7131.
Munda, G. (2005). Measuring sustainability. A multi-criterion framework. Environment, Development and Sustainability, 7(1), 117–134.
Madias, E., Doulos, L., Kontaxis, P., & Topalis, F. (2019). A decision support system for techno-economic evaluation of indoor lighting systems with LED luminaires. Operational Research, 2019, 1–20.
Mareschal, B., & De Smet, Y. (2009). Visual PROMETHEE. developments of the PROMETHEE & GAIA multicriteria decision aid methods. In 2009 IEEE International conference on industrial engineering and engineering management (pp. 1649–1649). New York: IEEE.
Ishizaka, A., & Nemery, P. (2013). Multi-criteria decision analysis—Methods and software. West Sussex: Wiley.
Schröder, T., Lauven, L., Beyer, B., Lerche, N., & Geldemann, J. (2019). Using PROMETHEE to assess bioenergy pathways. Schröd, 27(2), 287–309.
Mareschal, B. (2020). PROMETHEE-GAIA Statistics. Retrieved from http://www.promethee-gaia.net/assets/promethee-stats.pdf.
Mareschal, B. (1988). Weight stability intervals in multicriteria decision aid. European Journal of Operational Research, 33(1), 54–64.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Mareschal, B., Tsaples, G. (2021). The History and Future of PROMETHEE. In: Papathanasiou, J., Zaraté, P., Freire de Sousa, J. (eds) EURO Working Group on DSS. Integrated Series in Information Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-70377-6_14
Download citation
DOI: https://doi.org/10.1007/978-3-030-70377-6_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-70376-9
Online ISBN: 978-3-030-70377-6
eBook Packages: Business and ManagementBusiness and Management (R0)