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On the Effect of Scalarising Norm Choice in a ParEGO implementation Read chapter Read first chapter

2017 | OriginalPaper | Chapter

A Note on the Detection of Outliers in a Binary Outranking Relation

Authors : Yves De Smet, Jean-Philippe Hubinont, Jean Rosenfeld

Published in: Evolutionary Multi-Criterion Optimization

Publisher: Springer International Publishing

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Abstract

We address the problem of outliers detection in a binary outranking relation. These elements are supposed to be rare, dissimilar to the majority of other elements and are likely to influence the outcomes of the considered method. We propose a model based on the distance introduced by De Smet and Montano and extend it to different samplings of the set of alternatives (which are used as a comparison basis). This leads to study the distribution of distance values. The presence of outliers is detected by the identification of bi-modal distributions. We illustrate this on examples based on the Human Development Index, the Environmental Performance Index (where artificial outliers are added) and the Shanghai Ranking of World Universities.

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previous chapter An Approach for the Local Exploration of Discrete Many Objective Optimization Problems
next chapter Classifying Metamodeling Methods for Evolutionary Multi-objective Optimization: First Results
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Metadata
Title
A Note on the Detection of Outliers in a Binary Outranking Relation
Authors
Yves De Smet
Jean-Philippe Hubinont
Jean Rosenfeld
Copyright Year
2017
Book
Evolutionary Multi-Criterion Optimization

Print ISBN: 978-3-319-54156-3

Electronic ISBN: 978-3-319-54157-0

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-54157-0_11

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