Fuzzy set theory applied to CME importance classification

Details Fuzzy set theory applied to CME importance classification Fuzzy set theory applied to CME importance classification

Jul 2003

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003cha%26a..27..303h&link_type=abstract

Chinese Astronomy and Astrophysics, Volume 27, Issue 3, p. 303-307.

Astronomy and Astrophysics

Astrophysics

Sun, Coronal Mass Ejection(Cmes), Methods, Data Analysis

Scientific paper

In this paper, fuzzy set theory is applied to a quantitative way of assigning importance class to coronal mass ejection (CME) events based on four observed characteristics, i.e. velocity, span, mass and kinetic energy. The weights to be associated with each of the characteristics and the membership functions of belonging to one of the three importance classes are determined from the correlations between the characteristics and the CME morphology properties. A useful software of data reduction has been successfully compiled. The results show that the fuzzy comprehensive evaluation is better than the classic statistical analysis.

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