Fuzziness in Information Systems How to Deal with Crisp and Fuzzy Data in Selection, Classification, and Summarization /: How to Deal with Crisp and Fuzzy Data in Selection, Classification, and Summarization. (2016)

Record Type:
Book
Title:
Fuzziness in Information Systems How to Deal with Crisp and Fuzzy Data in Selection, Classification, and Summarization /: How to Deal with Crisp and Fuzzy Data in Selection, Classification, and Summarization. (2016)
Main Title:
Fuzziness in Information Systems How to Deal with Crisp and Fuzzy Data in Selection, Classification, and Summarization
Further Information:
Note: By Miroslav Hudec.
Authors:
Hudec, Miroslav
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. .
Publisher Details:
Cham : Springer International Publishing Imprint: Springer
Publication Date:
2016
Extent:
1 online resource (XXII, 198 pages), illustrations
Subjects:
006.312
Computer science
Logic, Symbolic and mathematical
Data mining
Electronic books
Languages:
English
ISBNs:
3319425188
9783319425184
Notes:
Note: Includes bibliographical references at the end of each chapters and index.
Note: Description based on print version record.
Access Rights:
Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
Access Usage:
Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
View Content:
Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:
British Library HMNTS - ELD.DS.373163
Ingest File:
02_352.xml