摘要
将模糊数学与多元统计相结合 ,提出一种模糊推理的简易方法 ,可避免计算多维模糊关系矩阵的困难 .所述方法能更多地利用相关因子 (线性的及非线性的 )信息 ,具有处理模糊信息的能力 ,不受样本数据概率分布的限制 ,因而提高了多级判别与预报的效果 .它可用作趋势及定值预报 。
Combining fuzzy mathematics with multivariate statistccs,the author advances a simple and easy method of fuzzy reasoning by which the difficulty of computing multi dimensional relational matrix can be avoided.The above mentioned method will make full use of linear and non linear information of correlation factors.It is capable of treating fuzzy information free from the restriction of probability distribution of sample data.Thus the effects of multi level discrimination and prediction can be promoted;and the trend and the definite value can be predicted.This is a method which will be still more widely applied to the actual problems.
出处
《华侨大学学报（自然科学版）》
CAS
2000年第3期228-233,共6页
Journal of Huaqiao University(Natural Science)
基金
华侨大学优秀课程建设基金资助项目
关键词
模糊推理
多级判别
预测
多元统计
模糊信息
fuzzy reasoning, easy method, multi level discrimination, prediction
