[PDF.91ds] Fuzziness in Information Systems: How to Deal with Crisp and Fuzzy Data in Selection, Classification, and Summarization
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Fuzziness in Information Systems: How to Deal with Crisp and Fuzzy Data in Selection, Classification, and Summarization
Miroslav Hudec
[PDF.xq43] Fuzziness in Information Systems: How to Deal with Crisp and Fuzzy Data in Selection, Classification, and Summarization
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| #8909717 in Books | 2016-09-28 | Original language:English | PDF # 1 | 9.21 x.56 x6.14l,.0 | File type: PDF | 198 pages||From the Back Cover||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
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 data and/or are unable to determine clear search criteria. The book examines theoretical and practical approaches to fuzziness in information systems based on statistical ...
You easily download any file type for your gadget.Fuzziness in Information Systems: How to Deal with Crisp and Fuzzy Data in Selection, Classification, and Summarization | Miroslav Hudec.Not only was the story interesting, engaging and relatable, it also teaches lessons.
