Statistical application using fuzzy sets
Describes and illustrates the use of fuzzy ``partition'' statistical methods, based on fuzzy set mathematical principles, as a means of analyzing high dimensional data with categorical responses. Statistical procedures such as estimation, testing of hypotheses and goodness of fit evaluatio...
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| Main Author: | |
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| Other Authors: | , |
| Format: | Book |
| Language: | English |
| Published: |
New York
J. Wiley
1994
@1994 |
| Series: | Wiley series in probability and mathematical statistics.
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| Subjects: | |
| Online Access: | Click Here to View Status and Holdings. |
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Add Tag | Summary: | Describes and illustrates the use of fuzzy ``partition'' statistical methods, based on fuzzy set mathematical principles, as a means of analyzing high dimensional data with categorical responses. Statistical procedures such as estimation, testing of hypotheses and goodness of fit evaluation are based upon maximum likelihood principles adapted to fuzzy set mathematics and logic. |
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| Item Description: | "A Wiley-Interscience publication." |
| Physical Description: | xi, 312 pages illustrations 25 cm |
| Bibliography: | Includes bibliographical references and index |
| ISBN: | 0471545619 |
Fuzzy sets, fuzzy logic, fuzzy methods with applications