基于模糊特征向量的差异驱动模糊决策算法  

Difference Driving Fuzzy Decision Algorithm Based on Fuzzy Eigen vector

作　　者：顾祥柏[1] 朱群雄[1] 

机构地区：[1]北京化工大学信息学院,北京100029

出　　处：《计算机工程与应用》2005年第2期53-56,共4页Computer Engineering and Applications

基　　金：国家自然科学基金项目(编号:29976003);教育部科学技术研究重点项目(编号:01024)

摘　　要：为了识别多属性专家决策的差异,在常规模糊决策矩阵的基础上,采用协方差的定义,构建了模糊协方差相似决策矩阵,提出了基于模糊协方差相似矩阵的模糊特征向量简化算法的多属性差异驱动模糊决策法,该方法从整体上体现决策信息的离散投影,具有较好的客观性和透明性。验证实例的对比结果说明了该方法的有效性。提出的算法对于属性与方案关系比较复杂,难以直观地确定各属性与方案相对重要性权重的决策应用(如多层次的流程工业优化与调度决策)具有较好的应用前景。In order to identify the difference of the experts consistent ,fuzzy symmetry matrix by referring to covariance definition of random variables is constructed as attributes evaluation space.Eigenvector of fuzzy symmetry decision matrix is used to mining information,which provide by attributes,so that decision can be defined external and transparent.Pro-posed algorithm has been used to two application cases and comparable results with other methods show the proposed algorithm is effective.The proposed algorithm will have good prospect in multi-hierarchy decision-making application.

关 键 词：模糊协方差对称决策矩阵 模糊特征向量 离散投影因子 差异驱动 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]