How to fully represent expert information about imprecise properties in a computer system: random sets, fuzzy sets, and beyond: an overview

DOI10.1080/03081079.2014.896354zbMath1291.93243OpenAlexW2119963451WikidataQ34473766 ScholiaQ34473766MaRDI QIDQ5166469

Vladik Ya. Kreinovich, Nguyen Trung Hung

Publication date: 27 June 2014

Published in: International Journal of General Systems (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4224575

zbMATH Keywords

fuzzy setsrandom setsimprecise properties

Mathematics Subject Classification ID

Control/observation systems with incomplete information (93C41) Popov-type stability of feedback systems (93D10) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Related Items (3)

In memory of Professor Hideo Tanaka: a tennis match that never happened ⋮ On Fuzzy Theory for Econometrics ⋮ Qualitative conditioning in an interval-based possibilistic setting

Cites Work

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• Interval-type and affine arithmetic-type techniques for handling uncertainty in expert systems
• Probabilistic logic
• Classic works on the Dempster-Shafer theory of belief functions
• Probability Theory
• An Introduction to Random Sets
• Upper and Lower Probabilities Induced by a Multivalued Mapping

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