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Lexicographic combinations of preference relations in the context of possibilistic decision theory

Authors: Godo Lacasa, Lluís; Zapico, Adriana;

Lexicographic combinations of preference relations in the context of possibilistic decision theory

Abstract

In Possibilistic Decision Theory (PDT), decisions are ranked by a pressimistic or by an optimistic qualitative criteria. The preference relations induced by these criteria have been axiomatized by corresponding sets of rationality postulates, both à la von Neumann and Morgenstern and à la Savage. In this paper we first address a particular issue regarding the axiomatic systems of PDT à la von Neumann and Morgenstern. Namely, we show how to adapt the axiomatic systems for the pessimistic and optimistic criteria when some finiteness assumptions in the original model are dropped. Second, we show that a recent axiomatic approach by Giang and Shenoy using binary utilities can be captured by preference relations defined as lexicographic refinements of the above two criteria. We also provide an axiomatic characterization of these lexicographic refinements.

Lluis Godo acknowledges partial support of the Spanish project MULOG, TIN2004-07933-C03-01.

Peer reviewed

Country
Spain
Keywords

Classificació AMS::91 Game theory, economics, social and behavioral sciences::91B Mathematical economics, Lexiocographic refinements, social and behavioral sciences::91B Mathematical economics, Lexicographic refinements, :91 Game theory, economics, social and behavioral sciences::91B Mathematical economics [Classificació AMS], Classificació AMS::91 Game theory, Matemàtica financera, Axiomatic systems, economics, Axionatic systems, Possibilistic decision theory

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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