摘要
从模糊模式识别概念出发 ,建立决策方案集对全体级别加权广义欧氏权距离平方和最小的非线性规划模型 ,导出决策信息不完全确知的多目标模糊决策集成模型。该模型将模糊优选、模糊模式识别、模糊交叉迭代、模糊聚类等多种决策方法有机地结合到一起 ,用于处理决策人偏好、方案评价、分级标准等决策信息不完全确知情况的决策问题 ,为解决复杂系统的不完全信息多目标决策提供了一条新途径。
Anintegratedmodelforsolvingfuzzydecision makings with incomplete information is developed. Based on the concept of fuzzy pattern recognition, a nonlinear programming is established. An integrated multi objective decision making model, with incomplete information, is derived. With the complete integration of fuzzy optimization, fuzzy pattern recognition, fuzzy cross iteration and fuzzy clustering methods, this model deals with the different cases of incomplete information, providing a novel approach for multi objective decision makings of complex systems with incomplete information.
出处
《控制与决策》
EI
CSCD
北大核心
2002年第6期847-851,共5页
Control and Decision
基金
国家自然科学基金项目 (5 9173976 )
