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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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| Lenguaje: | eng |
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John Wiley & Sons
2011
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| Acceso en línea: | http://cds.cern.ch/record/1437312 |