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Fuzziness in information systems: how to deal with crisp and fuzzy data in selection, classification, and summarization

Detalles Bibliográficos
Autor principal: Hudec, Miroslav
Lenguaje:eng
Publicado: Springer International 2016
Materias:
Acceso en línea:http://cds.cern.ch/record/2230252
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author Hudec, Miroslav
author_facet Hudec, Miroslav
author_sort Hudec, Miroslav
collection CERN
id cern-2230252
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2016
publisher Springer International
record_format invenio
spelling cern-22302522021-04-21T19:27:18Zhttp://cds.cern.ch/record/2230252engHudec, MiroslavFuzziness in information systems: how to deal with crisp and fuzzy data in selection, classification, and summarizationComputing and ComputersSpringer Internationaloai:cds.cern.ch:22302522016
spellingShingle Computing and Computers
Hudec, Miroslav
Fuzziness in information systems: how to deal with crisp and fuzzy data in selection, classification, and summarization
title Fuzziness in information systems: how to deal with crisp and fuzzy data in selection, classification, and summarization
title_full Fuzziness in information systems: how to deal with crisp and fuzzy data in selection, classification, and summarization
title_fullStr Fuzziness in information systems: how to deal with crisp and fuzzy data in selection, classification, and summarization
title_full_unstemmed Fuzziness in information systems: how to deal with crisp and fuzzy data in selection, classification, and summarization
title_short Fuzziness in information systems: how to deal with crisp and fuzzy data in selection, classification, and summarization
title_sort fuzziness in information systems: how to deal with crisp and fuzzy data in selection, classification, and summarization
topic Computing and Computers
url http://cds.cern.ch/record/2230252
work_keys_str_mv AT hudecmiroslav fuzzinessininformationsystemshowtodealwithcrispandfuzzydatainselectionclassificationandsummarization