监督模糊模式识别交叉迭代模型  

Supervised Cross Iteration Fuzzy Pattern Recognition Model

作　　者：王建明[1] 陈守煜[1] 

机构地区：[1]大连理工大学土建学院,辽宁大连116024

出　　处：《模糊系统与数学》2003年第3期101-106,共6页Fuzzy Systems and Mathematics

基　　金：国家自然科学基金资助项目 (5 9179376 )

摘　　要：从模糊模式识别概念出发 ,建立一种以决策者经验、偏好为监督 ,在方案优属等级识别过程中确定最佳目标权重和方案优属度的监督模糊模式识别交叉迭代算法 ,该算法集成了决策偏好信息完全未知、部分未知、完全已知的主客观权重识别方法。Based on the concept of fuzzy pattern recognition, this paper proposed a supervised fuzzy pattern recognition model with cross iteration algorithm, under the supervision of the decision maker' experience and preference. In the process of recognition, objective weights and membership degrees of alternatives are obtained by iteration at the same time. This algorithm integrates the combination of subjective and objective weight assessing approaches with completely unknown,partially unknown and completely known preference information. The proof of local convergence of the algorithm is given.

关 键 词：模糊模式识别 交叉迭代模型 多目标决策 拉格朗日函数 权重 收敛性 

分 类 号：C934[经济管理—管理学]