PROMETHEE IV through kernel density estimation

Pedro Henrique Melo Albuquerque and Mariana Rosa Montenegro

Communications in Statistics - Theory and Methods, 2016, vol. 45, issue 18, 5355-5362

Abstract: This paper presents a new version of PROMETHEE IV, which considers the empirical distribution of the criteria through kernel density estimation to evaluate alternatives. The developed method has the ability to treat criteria according to their distribution. The classic PROMETHEE IV can produce divergent integrals, and this could be the cause for its insufficient exploration in literature. The proposed method overcomes this situation since large values have little weight compared to values near the mean.

Date: 2016
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DOI: 10.1080/03610926.2014.942432

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