基于确定性转换的IFTS预测

doi:10.3969/j.issn.0255-8297.2013.02.016

Abstract

Abstract: To break the limitation in the description of the fuzzy trend of uncertain data sets and the partitioning intervals, the definition of intuitionistic fuzzy time series is regulated. A forecasting method of intuitionistic fuzzy time series is proposed, which optimize the domain-dividing interval with an intuitionistic fuzzy C-means clustering algorithm. Deterministic transition intuitionistic fuzzy rules are established by adding a back-tracking scheme. The proposed method can better reflect the characteristic distribution of the uncertain system and improve the prediction accuracy of time series in complicated environments. Validity and superiority of the method are checked with a classical instance.

Key words: intuitionistic fuzzy set, time series, deterministic transition

CLC Number:

TP18

ZHENG Kou-quan1,2, LEI Ying-jie1, WANG Rui1, WANG Yi1. Prediction of IFTS Based on Deterministic Transition[J]. Journal of Applied Sciences, 2013, 31(2): 204-211.

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Prediction of IFTS Based on Deterministic Transition

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