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提出一种新的参数优化模型和求解算法,引入模糊熵来指导模糊产生式规则(FPRs)的参数优化,给出基于极大模糊熵定理的参数优化模型,提出求解该模型的Pareto强度值的演化算法。实验结果表明,该方法能够有效优化参数,一定程度上避免过度拟合,提高了FPRs的知识表示能力。
A new parameter optimization model and solving algorithm are proposed. Fuzzy entropy is introduced to guide the parameter optimization of fuzzy production rules (FPRs). A parameter optimization model based on maximum fuzzy entropy theorem is given. The Pareto intensity value Evolutionary algorithm. The experimental results show that this method can effectively optimize the parameters, avoid over-fitting to a certain extent, and improve the ability of knowledge representation of FPRs.