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Artificial precision

In numerical mathematics, artificial precision is a source of error that occurs when a numerical value or semantic is expressed with more precision… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
How confident are you that someone exactly one hundred and fortythree days younger than you owns exactly nine bicycles? Give me… 
2014
2014
The problem of artificial precision demonstrates the inadequacy of naive fuzzy semantics for vagueness. This problem is… 
2012
2012
Points-to analysis is a static program analysis that extracts reference information from programs, e.g., possible targets of a… 
2012
2012
The paper by Didier Dubois discusses the controversial relationship between Zadeh’s fuzzy sets and vagueness. The author explores… 
2011
2011
The development of an ecological model may involve problems of uncertainty. Ecologists have to deal with imprecise data… 
2011
2011
Smith’s article Fuzzy logic and higher-order vagueness [12] presents a solution to the problem of artificial precision… 
2002
2002
The decision tree is widely used to represent and solve decision problems. Because it involves the explicit use of mathematics… 
Review
1986
Review
1986
There is a .rapidly growing need to use geographic information systems (GIS) to manage extremely large databases containing data…