期刊
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
卷 297, 期 3, 页码 986-1005出版社
ELSEVIER
DOI: 10.1016/j.ejor.2021.05.017
关键词
Multiple criteria analysis; ELECTRE methods; Scoring methods; Non-compensatory composite indicators; Healthcare system evaluation
资金
- FundacAo para a Ciencia e Tecnologia (FCT) [SFRH/BSAB/139892/2018]
- European Regional Development Fund (ERDF)
- FCT [LISBOA-01-0145-FEDER-024135]
- FCT reserch project [PTDC/EGE-OGE/30546/2017]
- Minis-tero dell'Istruzione, dell'Universita e della Ricerca (MIUR) -PRIN [2017CY2NCA]
- Department of Economics and Business of the University of Catania
- Fundação para a Ciência e a Tecnologia [SFRH/BSAB/139892/2018] Funding Source: FCT
The ELECTRE-SCORE method presented in this paper is the first outranking method to assign a score to each alternative. It utilizes outranking relations and reference actions to compare alternatives and assign representative scores within a range, offering a more robust approach compared to traditional methods. By considering imperfect data and avoiding systematic compensatory effects, it provides a reliable evaluation method for decision-making processes.
In this paper, we present (to the best of our knowledge) the first outranking method to assign a score to each alternative. This method is part of the ELECTRE family, and we will call it ELECTRE-SCORE . In contrast to the Multi-Attribute Value Theory methods, ELECTRE-SCORE does not construct a value function for each criterion to proceed then to the aggregation into a single value. Instead, ELECTRE-SCORE makes use of the outranking relations to make a comparison with sets of reference actions (to which a score is assigned) and assigns a score range to each action and a representative score in the range to each action. This is a more robust way of proceeding given the fragility of a single score. The reference actions have similar nature and characteristics of limiting profiles in ELECTRE TRI-NB and the reference scores are assigned to them through the application of the deck of cards technique. Because this method uses outranking rela-tions, it makes also possible to take into account the imperfect knowledge of data and to avoid systematic compensatory effects. Some fundamental theoretical results guaranteeing the consistency of the method, an illustrative example and a case study in the domain of healthcare system evaluation are also provided in this paper. (c) 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/ )
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