We present a new characterization of the class of weight-based scoring indices for ranking problems with top-truncated preferences. The main novel axiom is Splitting Invariance: if an alternative is split up into a number of distinct yet unranked alternatives, then the total score of these alternatives should increase by the score of the original alternative, and the scores of the other alternatives should not change. (c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons .org /licenses /by /4 .0/)
It is often appropriate to weight variables to form a composite for making decisions. Examples inclu...
The rank aggregation problem can be summarized as the problem of aggregating individual preferences ...
This paper reports two experiments which examine the use of ranking methods to elicit ‘certainty equ...
We present a new characterization of the class of weight-based scoring indices for ranking problems ...
Producción CientíficaOne of the most important issues for aggregating preferences rankings is the de...
Ranked retrieval has a particular disadvantage in comparison with traditional Boolean retrieval: the...
Ranking methods are fundamental tools in many areas. Popular methods aggre-gate the statements of “e...
Decision making is challenging when there is more than one criterion to consider. In such cases, it ...
International audienceIn this article, we tackle the problem of exploring the structure of the data ...
In this paper we address the problem of ranking a set of alternatives with partial information about...
We test an implication that is common to all prominent theories of outcome-based other-regarding pre...
This paper studies the learning problem of ranking when one wishes not just to accurately predict pa...
Louviere et al. (2008. J. of Choice Modelling, 1, 126-163) present two main empirical examples in wh...
International audienceWe address in this paper the problem of scoring alternatives when they are eva...
This paper analyzes some ranking methods in two-sided settings through their axiomatization. In thes...
It is often appropriate to weight variables to form a composite for making decisions. Examples inclu...
The rank aggregation problem can be summarized as the problem of aggregating individual preferences ...
This paper reports two experiments which examine the use of ranking methods to elicit ‘certainty equ...
We present a new characterization of the class of weight-based scoring indices for ranking problems ...
Producción CientíficaOne of the most important issues for aggregating preferences rankings is the de...
Ranked retrieval has a particular disadvantage in comparison with traditional Boolean retrieval: the...
Ranking methods are fundamental tools in many areas. Popular methods aggre-gate the statements of “e...
Decision making is challenging when there is more than one criterion to consider. In such cases, it ...
International audienceIn this article, we tackle the problem of exploring the structure of the data ...
In this paper we address the problem of ranking a set of alternatives with partial information about...
We test an implication that is common to all prominent theories of outcome-based other-regarding pre...
This paper studies the learning problem of ranking when one wishes not just to accurately predict pa...
Louviere et al. (2008. J. of Choice Modelling, 1, 126-163) present two main empirical examples in wh...
International audienceWe address in this paper the problem of scoring alternatives when they are eva...
This paper analyzes some ranking methods in two-sided settings through their axiomatization. In thes...
It is often appropriate to weight variables to form a composite for making decisions. Examples inclu...
The rank aggregation problem can be summarized as the problem of aggregating individual preferences ...
This paper reports two experiments which examine the use of ranking methods to elicit ‘certainty equ...