Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

Related topics

Related topics

4 relations

Broader (2)

Computational statisticsNumerical analysis
False precisionSignificant figures

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
In Which Sense Is Fuzzy Logic a Logic for Vagueness?
The problem of artificial precision demonstrates the inadequacy of naive fuzzy semantics for vagueness. This problem is… 
2012
2012
Comments on Have Fuzzy Sets Anything to do with Vagueness ? by Didier Dubois
The paper by Didier Dubois discusses the controversial relationship between Zadeh’s fuzzy sets and vagueness. The author explores… 
2011
2011
Comments on Fuzzy Logic and Higher-Order Vagueness by Nicholas J.J. Smith
Smith’s article Fuzzy logic and higher-order vagueness [12] presents a solution to the problem of artificial precision… 
2002
2002
Decision Rings : Making Decision Trees Visual & non-Mathematical
The decision tree is widely used to represent and solve decision problems. Because it involves the explicit use of mathematics… 
Review
1986
Review
1986
Advanced data structures for the interpretation of image and cartographic data in geo-based information systems
There is a .rapidly growing need to use geographic information systems (GIS) to manage extremely large databases containing data… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)