Uncertainty Interval Expression of Measurement: Possibility Maximum Specificity versus Probability Maximum Entropy Principles

DOI10.1007/978-3-642-14055-6_40zbMath1209.68546OpenAlexW2117251777MaRDI QIDQ3164023

Gilles Mauris

Publication date: 27 October 2010

Published in: Communications in Computer and Information Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-14055-6_40

zbMATH Keywords

possibility theorymaximum entropy principlemeasurement uncertaintyuncertainty intervalsmaximum specificity principle

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37) Probability in computer science (algorithm analysis, random structures, phase transitions, etc.) (68Q87)

Uses Software

• SPIRIT

Cites Work

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• Can the maximum entropy principle be explained as a consistency requirement?
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• When upper probabilities are possibility measures
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• Probability-possibility transformations, triangular fuzzy sets, and probabilistic inequalities
• PROBABILITY INTERVALS: A TOOL FOR UNCERTAIN REASONING
• Information Theory and Statistical Mechanics
• Probability inequalities of the Tchebycheff type
• Features of the Expert-System-Shell SPIRIT
• Information-theoretic approach to unimodal density estimation
• Elements of Information Theory
• Prior Probabilities

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