Pairwise comparison tables within the deck of cards method in multiple criteria decision aiding

Salvatore Corrente, J.R. Figueira and S. Greco

European Journal of Operational Research, 2021, vol. 291, issue 2, 738-756

Abstract: This paper deals with an improved version of the deck of cards method to render the construction of ratio and interval scales more “accurate” compared to the ones built in the original version. The improvement comes from the fact that we can account for a richer and finer preference information provided by the decision-maker, which permits a more accurate modeling of the strength of preference between different levels of a scale. Instead of considering only the number of blank cards between consecutive positions in the ranking of objects, such as criteria and scale levels, we consider also the number of blank cards between not consecutive positions in the ranking. This information is collected in a pairwise comparison table that is not necessarily built with precise values. We can consider imprecise information provided in the form of intervals and missing values. Since the provided information is not necessarily consistent, we propose also some procedures to help the decision-maker to make consistent her evaluations in a co-constructive way interacting with an analyst and reflecting and revising her judgments. A didactic example will illustrate the application of the method.

Keywords: Multiple criteria analysis; Deck of cards method; Decision aiding; Robust information; Pairwise comparison tables (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221720308407
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:291:y:2021:i:2:p:738-756

DOI: 10.1016/j.ejor.2020.09.036

Access Statistics for this article

European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().