4.7 Article

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

Journal

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Volume 291, Issue 2, Pages 738-756

Publisher

ELSEVIER
DOI: 10.1016/j.ejor.2020.09.036

Keywords

Multiple criteria analysis; Deck of cards method; Decision aiding; Robust information; Pairwise comparison tables

Funding

  1. Ministero dell'Istruzione, dell'Universitae della Ricerca (MIUR) - PRIN 2017, project Multiple Criteria Decision Analysis and Multiple Criteria Decision Theory [2017CY2NCA]
  2. Department of Economics and Business of the University of Catania
  3. hSNS FCT [PTDC/EGE-OGE/30546/2017]
  4. FCT under POCH Program [SFRH/BSAB/139892/2018]

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This paper introduces an improved version of the deck of cards method for constructing ratio and interval scales, which takes into account richer preference information to model preference strength more accurately. By considering both consecutive and non-consecutive positions in the ranking, as well as imprecise information, consistent evaluations can be achieved through interactive procedures with an analyst.
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. (C) 2020 The Authors. Published by Elsevier B.V.

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