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Binary Probabilities Induced by Rankings

Authors: Peter C. Fishburn;

Binary Probabilities Induced by Rankings

Abstract

A system $[ p_{ij} : i, j \in \{ 1, 2, \cdots ,n \}, i \ne j,p_{ij} + p_{ji} = 1 ]$ of binary probabilities is said to be induced by rankings if there is a probability distribution P on the set of $n!$ linear orders of $\{ 1,2, \cdots ,n \}$ such that, for all distinct i and $j,p_{ij} $ is the sum of the P values over all linear orders in which i precedes j. It has been known for some time that the triangle inequality $p_{ij} + p_{jk} \geqq p_{ik} $ is necessary for $\{ p_{i j} \} $ to be induced by rankings and that it is also sufficient if $n\leqq 5$. The insufficiency of the triangle inequality when $n\geqq 6$ has been known since about 1970, and other necessary conditions for $n\geqq 6$ have been known since 1978.The present paper generates additional necessary conditions that pertain to $n\geqq 6$ and shows that they are independent of previous necessary conditions. It then observes that the set of conditions on the $p_{ij} $ that are sufficient for $\{ p_{ij} \} $ to be induced by rankings regardles...

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
17
Average
Top 10%
Average
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