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CSDA
2006

The fuzzy approach to statistical analysis

13 years 4 months ago
The fuzzy approach to statistical analysis
For the last decades, research studies have been developed in which a coalition of Fuzzy Sets Theory and Statistics has been established with different purposes. These namely are: (i) to introduce new data analysis problems in which the objective involves either fuzzy relationships or fuzzy terms; (ii) to establish well-formalized models for elements combining randomness and fuzziness; (iii) to develop uni- and multivariate statistical methodologies to handle fuzzy-valued data; and (iv) to incorporate fuzzy sets to help in solving traditional statistical problems with non-fuzzy data. In spite of a growing literature concerning the development and application of fuzzy techniques in statistical analysis, the need is felt for a more systematic insight into the potentialities of cross fertilization between Statistics and Fuzzy Logic. In line with the synergistic spirit of Soft Computing, some instances of the existing research activities on the topic are recalled. Particular attention is ...
Renato Coppi, María Angeles Gil, Henk A. L.
Added 11 Dec 2010
Updated 11 Dec 2010
Type Journal
Year 2006
Where CSDA
Authors Renato Coppi, María Angeles Gil, Henk A. L. Kiers
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