Ordinal regression revisited: Multiple criteria ranking using a set of additive value functions
نویسندگان
چکیده
منابع مشابه
Ordinal regression revisited: Multiple criteria ranking using a set of additive value functions
We present a new method, called UTA, for multiple criteria ranking of alternatives from set A using a set of additive value functions which result from an ordinal regression. The preference information provided by the decision maker is a set of pairwise comparisons on a subset of alternatives A A, called reference alternatives. The preference model built via ordinal regression is the set of all...
متن کاملMultiple criteria sorting with a set of additive value functions
We present a new multiple criteria sorting method that aims at assigning actions evaluated on multiple criteria to p pre-defined ordered classes. The preference information supplied by the decision maker (DM) is a set of assignment examples concerning reference actions. Each assignment example specifies a desired assignment for a reference action to one or several contiguous classes. The assign...
متن کاملInteractive Multiobjective Optimization Using a Set of Additive Value Functions
In this chapter, we present a new interactive procedure for multiobjective optimization, which is based on the use of a set of value functions as a preference model built by an ordinal regression method. The procedure is composed of two alternating stages. In the first stage, a representative sample of solutions from the Pareto optimal set (or from its approximation) is generated. In the second...
متن کاملNon-additive robust ordinal regression: A multiple criteria decision model based on the Choquet integral
Within the multicriteria aggregation-disaggregation framework, ordinal regression aims at inducing the parameters of a decision model, for example those of a utility function, which have to represent some holistic preference comparisons of a Decision Maker (DM). Usually, among the many utility functions representing the DM’s preference information, only one utility function is selected. Since s...
متن کاملInducing probability distributions on the set of value functions by Subjective Stochastic Ordinal Regression
Ordinal regression methods of Multiple Criteria Decision Aiding (MCDA) take into account one, several, or all value functions compatible with the indirect preference information provided by the Decision Maker (DM). When dealing with multiple criteria ranking problems, typically, this information is a series of holistic and certain judgments having the form of pairwise comparisons of some refere...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: European Journal of Operational Research
سال: 2008
ISSN: 0377-2217
DOI: 10.1016/j.ejor.2007.08.013