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

• Κύριος συγγραφέας: Hudec, Miroslav (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Θέματα: Computer science.; Mathematical logic.; Data mining.; Artificial intelligence.; Computational intelligence.; Computer Science.; Data Mining and Knowledge Discovery.; Computational Intelligence.; Information Systems Applications (incl. Internet).; Mathematical Logic and Formal Languages.; Artificial Intelligence (incl. Robotics).

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...

Πίνακας περιεχομένων:

• 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. .