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Fuzziness in Information Systems How to Deal with Crisp and Fuzzy Data in Selection, Classification, and Summarization /

This book is an essential contribution to the description of fuzziness in information systems. Usually users want to retrieve data or summarized information from a database and are interested in classifying it or building rule-based systems on it. But they are often not aware of the nature of this d...

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Main Author: Hudec, Miroslav. (Author, http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Subjects:
Data mining.
Computational intelligence.
Application software.
Mathematical logic.
Artificial intelligence.
Data Mining and Knowledge Discovery.
Computational Intelligence.
Information Systems Applications (incl. Internet).
Mathematical Logic and Formal Languages.
Artificial Intelligence.
Online Access:https://doi.org/10.1007/978-3-319-42518-4

Internet

https://doi.org/10.1007/978-3-319-42518-4

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