نتایج جستجو برای: multiattribute analysis

تعداد نتایج: 2824660  

2008
Yagil Engel

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2007
Lirong Xia Jérôme Lang Mingsheng Ying

Sequential composition of voting rules, by making use of structural properties of the voters’ preferences, provide computationally economical ways for making a common decision over a Cartesian product of finite local domains. A sequential composition is usually defined on a set of legal profiles following a fixed order. In this paper, we generalize this by order-independent sequential compositi...

Journal: :European Journal of Operational Research 2013
Denis Bouyssou Thierry Marchant

In the context of multiple attribute decision making, preference models making use of reference points in an ordinal way have recently been introduced in the literature. This text proposes an axiomatic analysis of such models, with a particular emphasis on the case in which there is only one reference point. Our analysis uses a general conjoint measurement model resting on the study of traces i...

2002
Nancy J. Lightner

While computers provide access to a multitude of data, the comprehension of that data for decision making and communication purposes relies on humans. What characteristics emerge as important to the skill of data interpretation and is training possible to develop this skill? This paper assesses user competence for the perception and comprehension of graphical computer displays using a knowledge...

Journal: :Decision Analysis 2011
L. Robin Keller Ali E. Abbas J. Eric Bickel Vicki M. Bier David V. Budescu John C. Butler Philippe Delquié Kenneth C. Lichtendahl Jason R. W. Merrick Ahti Salo George Wu

T issue’s “From the Editors” column is coauthored with all the associate editors, to emphasize their major role in the leadership of the journal. We first review this year’s operations and thank our editorial board and referees. Our first article, by David J. Johnstone, Victor Richmond R. Jose, and Robert L. Winkler, presents “Tailored Scoring Rules for Probabilities,” which take into account t...

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