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Unique Finite Difference Measurement

Authors: Peter C. Fishburn; Helen M. Marcus-Roberts; Fred S. Roberts;

Unique Finite Difference Measurement

Abstract

This paper considers a variety of combinatorial and number-theoretic questions that arise from considerations of uniqueness in the theory of measurement. Given $n + 1$ objects linearly ordered from worst (smallest) to best (largest), let $d_i $ stand for the difference between objects i and $i + 1$. Three types of assumptions that allow different inequality and equality comparisons between certain subsets of differences are considered. The three types of assumptions arise from problems concerning the uniqueness of finite algebraic difference measurement and finite subjective probability measurement. If the number of equality comparisons is sufficient to imply that the $d_i $ in $d = ( d_1 ,d_2 , \cdots ,d_n )$ are unique up to multiplication by a positive constant, then d is said to be unique. Results on the number of unique d’s and relationships among the components of such d’s are obtained for each of the three types.

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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%
Top 10%
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