摘要
从多粒度视角研究了直觉模糊信息系统,定义了优势关系,给出了乐观和悲观的两种模型,研究了其性质及其与单粒度模型的联系与区别,并且给出了决策规则的置信度因子及其决策规则的获取方法,定义了多粒度直觉模糊决策系统的属性重要度,将其应用到多专家综合决策中,从而弥补了单粒度直觉模糊粗糙集的不足,最后通过一个实例验证了本文理论方法的正确性与有效性。
The intuitionistic fuzzy information system （IFIS） is further investigated from the point of multi-granu-lation. The optimistic model as well as the pessimistic models are proposed by dominance relation. Then not only their properties are researched but also the differences and relationships between single-granulation and multi-granulation model are discussed. Moreover, the certainty factor of the decision rule and the acquired method are then given. The attribute importance degree in the multi-granulation intuitionistic fuzzy decision system is defined and applied in multi- expert decision to make up for the deficiency of the single-granulation model. Finally, a numerical example is given to demonstrate the correctness and effectiveness of the proposed method.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2016年第2期347-351,共5页
Systems Engineering and Electronics
基金
国家自然科学基金(11172086
51178157
71131002)
中央高校基本科研业务费专项基金(2013HGXJ0228)资助课题
关键词
多粒度粗糙集
直觉模糊信息系统
属性重要度
置信度
multi-granulation rough set
intuitionistic fuzzy information system（iFIS）
attribute importance degree
certainty factor
