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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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Hudec, Miroslav (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Subjects:
Data mining.
Computational intelligence.
Application software.
Machine theory.
Artificial intelligence.
Data Mining and Knowledge Discovery.
Computational Intelligence.
Computer and Information Systems Applications.
Formal Languages and Automata Theory.
Artificial Intelligence.
Online Access:Texto Completo
Table of Contents:
  • 1 Fuzzy Set and Fuzzy Logic Theory in Brief
  • 2 Fuzzy Queries
  • 3 Linguistic Summaries
  • 4 Fuzzy Inference
  • 5 Fuzzy Data in Relational Databases
  • 6 Perspectives, Synergies and Conclusion
  • A Illustrative Interfaces and Applications for Fuzzy Queries
  • B Illustrative Interfaces and Applications for Linguistic Summaries. .

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