Robust ordinal regression for value functions handling interacting criteria
Volume: 239, Issue: 3, Pages: 711 - 730
Published: Dec 1, 2014
Abstract
We present a new method called UTAGMS–INT for ranking a finite set of alternatives evaluated on multiple criteria. It belongs to the family of Robust Ordinal Regression (ROR) methods which build a set of preference models compatible with preference information elicited by the Decision Maker (DM). The preference model used by UTAGMS–INT is a general additive value function augmented by two types of components corresponding to “bonus” or “penalty”...
Paper Details
Title
Robust ordinal regression for value functions handling interacting criteria
Published Date
Dec 1, 2014
Volume
239
Issue
3
Pages
711 - 730
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