Academic
Publications
The Most Representative Utility Function for Non-Additive Robust Ordinal Regression

The Most Representative Utility Function for Non-Additive Robust Ordinal Regression,10.1007/978-3-642-14049-5_23,Silvia Angilella,Salvatore Greco,Bene

The Most Representative Utility Function for Non-Additive Robust Ordinal Regression  
BibTex | RIS | RefWorks Download
Non-additive robust ordinal regression (NAROR) considers Choquet integral or one of its generalizations to represent preferences of a Decision Maker (DM). More precisely, NAROR takes into account all the fuzzy measures which are compatible with the preference information given by the DM and builds two preference relations: possible preference relation, when there is at least one compatible fuzzy measure for which an alternative is preferred to the other, and necessary preference relation, when an alternative is preferred to the other for all compatible fuzzy measures. Although it is interesting to take into consideration all the compatible fuzzy measures, in some decision problems we need to give a value to every alternative and it results necessary to obtain the most representative fuzzy measures among all the compatible ones. The aim of the paper is to propose an algorithm to the DM for selecting the most representative utility function expressed as Choquet integral from which a DM’s representation of preferences is obtained.
Cumulative Annual
View Publication
The following links allow you to view full publications. These links are maintained by other sources not affiliated with Microsoft Academic Search.