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Statistical Methods for Fuzzy Data

Statistical data are not always precise numbers, or vectors, or categories. Real data are frequently what is called fuzzy. Examples where this fuzziness is obvious are quality of life data, environmental, biological, medical, sociological and economics data. Also the results of measurements can be b...

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Detalles Bibliográficos
Autor principal: Viertl, Reinhard
Lenguaje:eng
Publicado: John Wiley & Sons 2011
Materias:
Acceso en línea:http://cds.cern.ch/record/1437312
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author Viertl, Reinhard
author_facet Viertl, Reinhard
author_sort Viertl, Reinhard
collection CERN
description Statistical data are not always precise numbers, or vectors, or categories. Real data are frequently what is called fuzzy. Examples where this fuzziness is obvious are quality of life data, environmental, biological, medical, sociological and economics data. Also the results of measurements can be best described by using fuzzy numbers and fuzzy vectors respectively. Statistical analysis methods have to be adapted for the analysis of fuzzy data. In this book, the foundations of the description of fuzzy data are explained, including methods on how to obtain the characterizing function of fuzzy m
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institution Organización Europea para la Investigación Nuclear
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spelling cern-14373122021-04-22T00:34:21Zhttp://cds.cern.ch/record/1437312engViertl, ReinhardStatistical Methods for Fuzzy DataMathematical Physics and MathematicsStatistical data are not always precise numbers, or vectors, or categories. Real data are frequently what is called fuzzy. Examples where this fuzziness is obvious are quality of life data, environmental, biological, medical, sociological and economics data. Also the results of measurements can be best described by using fuzzy numbers and fuzzy vectors respectively. Statistical analysis methods have to be adapted for the analysis of fuzzy data. In this book, the foundations of the description of fuzzy data are explained, including methods on how to obtain the characterizing function of fuzzy mJohn Wiley & Sonsoai:cds.cern.ch:14373122011
spellingShingle Mathematical Physics and Mathematics
Viertl, Reinhard
Statistical Methods for Fuzzy Data
title Statistical Methods for Fuzzy Data
title_full Statistical Methods for Fuzzy Data
title_fullStr Statistical Methods for Fuzzy Data
title_full_unstemmed Statistical Methods for Fuzzy Data
title_short Statistical Methods for Fuzzy Data
title_sort statistical methods for fuzzy data
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/1437312
work_keys_str_mv AT viertlreinhard statisticalmethodsforfuzzydata