Author(s)

Yeping Peng

Corresponding Author

Yeping Peng

Abstract

In order to solve the problem of inaccurate setting of fuzzy data in the actual research process, the method of fuzzy mathematics is adopted. The importance of fuzzification of data variables is illustrated by using fuzziness. The definitions of fuzzy variables and time series of fuzzy variables are given. The necessity of fuzzification of variables is illustrated by examples of econometrics and data mining. The results show that many data in the study do have the characteristics of fuzziness, and the application of time series of fuzzy variables is helpful for more objective econometric models and time series mining. The introduction of time series of fuzzy variables has certain reference value for econometrics and data mining.

Keywords

Fuzzy variable, time series, fuzziness, membership, data mining