吉林大学学报（理学版）2012，Vol.50Issue(5)：993-997,5.
直觉模糊最小二乘支持向量机
Intuitionistic Fuzzy Least Square Support Vector Machine
摘要
Abstract
By means of the introduction of intuitionistic fuzzy set theory into the least squares support vector machine, the mathematical model of the intuitionistic fuzzy least squares support vector machine was established, and the solution to the model was derived. The simulation experiments were performed on both artificial data sets and benchmark data sets to verify the effectiveness of the proposed algorithm. The results show that the intuitionistic fuzzy least squares support vector machine algorithm can reduce the serious impact of sample noise and outliers on classification effect.关键词
直觉模糊/最小二乘支持向量机/分类Key words
intuitionistic fuzzy/ least squares support vector machine/ classification分类
信息技术与安全科学引用本文复制引用
郭新辰,张超,李成龙..直觉模糊最小二乘支持向量机[J].吉林大学学报（理学版）,2012,50(5):993-997,5.基金项目
吉林省自然科学基金(批准号:201215165)、符号计算与知识工程教育部重点实验室开放基金(批准号:93K-17-2010-K05)和东北电力大学博士科研启动基金(批准号:BSJXM-200911). （批准号:201215165）
