Interaction of criteria and robust ordinal regression in bi-polar PROMETHEE methods

S. Corrente, J. Figueira, Salvatore Greco

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract

In this paper we consider the bipolar approach to Multiple Criteria Decision Analysis (MCDA). In particular we aggregate positive and negative preferences by means of the bipolar PROMETHEE method. To elicit preferences we consider Robust Ordinal Regression (ROR) that has been recently proposed to derive robust conclusions through the use of the concepts of possible and necessary preferences. It permits to take into account the whole set of preference parameters compatible with the preference information given by the Decision Maker (DM).
Original languageEnglish
Title of host publicationAdvances in computational intelligence: 14th international conference on information processing and management of uncertainty in knowledge-based systems, proceedings, part 4
EditorsSalvatore Greco, B. Bouchon-Meunier, G. Coletti, M. Fedrizzi, B. Matarazzo, R. Yager
Place of PublicationBerlin
PublisherSpringer
Pages469-479
Number of pages11
Volume300
Edition300
ISBN (Print)9783642317231
DOIs
Publication statusPublished - 2012

Publication series

NameCommunications in computer and information science
PublisherSpringer
Number300
ISSN (Print)1865-0929

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