郑州大学学报（理学版）2011，Vol.43Issue(1)：62-64,3.
确定gλ模糊测度的多分类器系统学习算法
A Learning Algorithm of Multi-classifier Systems Determining gλ Fuzzy Measure
摘要
Abstract
Fuzzy measure was a non-negative real-valued set function defined on a non-empty class of sets. It was non-additive, and it played an important role on multi-classifier systems and effected the performance of the whole system. Taking into account the formula of Choquet fuzzy integral and the structure of gλ fuzzy measure, an algorithm was presented which modified the density of gλ fuzzy measure in the multi-classifier systems based on the Choquet fuzzy integral. This algorithm was analyzed and proved with theory, and at last the experiment showed that this algorithm was feasible and had a widespread application. For making a multi-classifier system, an operative method was brought which made fuzzy measure.关键词
多分类器系统/gλ模糊测度/Choquet积分Key words
multi-classifier systems/ gλ fuzzy measure/ Choquet integral分类
信息技术与安全科学引用本文复制引用
何莉辉,张国防,苏珂..确定gλ模糊测度的多分类器系统学习算法[J].郑州大学学报（理学版）,2011,43(1):62-64,3.基金项目
河北省自然科学基金(青年基金)资助项目,编号A2010000191. （青年基金）
