We introduce the principle of robust ordinal regression to group decision. We consider the main multiple criteria decision methods to which robust ordinal regression has been applied, i.e., UTA and GRIP methods, dealing with choice and ranking problems, UTADIS , dealing with sorting (ordinal classification) problems, and ELECTRE , being an outranking method applying robust ordinal regression to...

BACKGROUND Prioritization of medical technologies requires a multi-dimensional view. Often, conflicting equity and efficiency criteria should be reconciled. The most dramatic manifestation of such conflict is in the prioritization of new medical technologies asking for public finance performed yearly by the Israeli Basket Committee. The aim of this paper is to compare the revealed preferences o...

When selecting a statistical distribution to describe a set of data there are a number of criteria that can be used. Rather than select one of these criteria, we look at how multiple criteria can be combined to make the final selection. Two approaches have previously been presented in Computers and Industrial Engineering. We review these, and present a simpler method based on multiplicative agg...

This study develops a computational framework for ranking Bangladeshi coals for industrial use based on fuzzy set theory. The ranking process considers coal quality parameters (known as selection or ranking criteria) such as sulphur content (ultimate analysis), fixed carbon, volatile matter, moisture content, and ash content (proximate analysis) and calorific value. The selection criteria are f...