直觉模糊和粗集的复合多属性保障力量优选  

Compound multi-attribute decision-making for selecting power based on intuitionist fuzzy sets and rough sets

作　　者：张倩[1,2] 陈桂明 颜宁[2] 苏保忠 

机构地区：[1]第二炮兵工程大学503教研室,陕西西安710025 [2]北京高新技术研究所,北京100085

出　　处：《系统工程与电子技术》2013年第8期1697-1701,共5页Systems Engineering and Electronics

基　　金："十二五"国防预研重点项目(2011222023);军内科研项目(2009131615)资助课题

摘　　要：根据装备维修保障力量特点,以优化维修保障力量配置为目标,结合粗集(rough sets,RS)和多属性群决策理论,引入直觉模糊集(intuitionist fuzzy sets,IFS)处理复合型决策数据,建立基于IFS多属性粗集群决策的知识系统,用诱导集结算子融合群组信息,定义基于交叉熵的得分函数,并基于其评估结果构建粗集决策系统。采用综合的粗集信息熵属性重要度及粗集权重方法确定属性权重,通过对象的综合评价值判断其优劣,对装备维修保障力量进行优选排序。实例分析结果符合实际,最优排序结果为决策者提供技术支持。Based on the characteristics of equipment maintenance power, aiming at optimizing the collocation for power, combining with rough sets and multi-attribute group decision-making, intuitionist fuzzy sets （IFS） are introduced to manage compound data, and the knowledge system model based on IFS multi-attribute rough sets （RS） group decision-making is established. An induced-intuitionistic fuzzy ordered weighted averaging operator （I-IFOWA） is used for information fusion, the score function based on cross entropy is defined, and the evaluated result is used to construct the decision table. The improved RS and information entropy method are adopted to obtain the attribute power, and the maintenance power is evaluated and ranked by integrative value. The result of an example is in accordance with the fact, and the optimized sequence provides technique support for decision-making.

关 键 词：管理工程 多属性群决策 粗集 直觉模糊集 得分函数 维修保障力量 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]