Abstract：Importing the concept of fuzzy set, this paper constructes membership function for measuring the complexity of chaotic pseudorandom sequences. On the basis of this, a new complexity metric is investigated to evaluate the unpredictability of the chaotic pseudorandom sequences based on the Fuzzy Entropy (FuzzyEn). Simulations and analysis results show that, the FuzzyEn works effectively to discern the changing complexities of the chaotic pseudorandom sequences, and compared with complexity metric based on the Approximate Entropy (ApEn) and symbolic dynamics approach, FuzzyEn has obvious advantages in the applicability of symbolic space, the sensitivity of vector dimension and the robustness of resolution parameter.
陈小军, 李赞, 白宝明, 潘玮, 陈清华. 一种基于模糊熵的混沌伪随机序列复杂度分析方法[J]. 电子与信息学报, 2011, 33(5): 1198-1203.
Chen Xiao-Jun, Li Zan, Bai Bao-Ming, Pan Wei, Chen Qing-Hua. A New Complexity Metric of Chaotic Pseudorandom Sequences Based on Fuzzy Entropy. , 2011, 33(5): 1198-1203.
2011, Vol. 33 
