计算机工程2017，Vol.43Issue(2)：304-307,316,5.DOI:10.3969/j.issn.1000-3428.2017.02.051
基于Pareto烟花算法的模糊分类系统设计
Design of Fuzzy Classification System Based on Pareto Firework Algorithm
摘要
Abstract
In order to increase the accuracy of the fuzzy model,a fuzzy classification model based on firework algorithm and Pareto optimal solution set is proposed.The fuzzy clustering method is applied to build the initial fuzzy model,and the structure and para meters of the model are optimized by the firework algorithm.In each iterative operation process,the concept of the fast non dominated sorting algorithm and the Pareto optimal solution set is used to evaluate and select the sub generation.Simulation results on Wine data sample set demonstrate that the proposed method can build fuzzy classification system of simple structure which is easy to understand under the premise of ensuring higher classification accuracy.关键词
模糊系统/烟花算法/模糊聚类/解释性/精确性/模式识别Key words
fuzzy system/firework algorithm/fuzzy clustering/interpretability/accuracy/pattern recognition分类
信息技术与安全科学引用本文复制引用
罗勇,郭雅默,刘冲..基于Pareto烟花算法的模糊分类系统设计[J].计算机工程,2017,43(2):304-307,316,5.基金项目
河南省重点科技攻关计划项目(152102210036) （152102210036）
河南省产学研合作项目(152107000058) （152107000058）
河南省青年骨干教师项目(2015GGJS-148). （2015GGJS-148）
