摘要
多源信息系统经常被用于表示来自多个信息源的复杂数据,随着大数据时代的来临,信息融合已成为人工智能领域的研究热点.许多现有的多源决策融合方法是从多源决策信息系统中选择更多可靠的信息,最后形成一个单源决策信息系统,但是它会有信息损失.为了解决这一问题,提出多源直觉模糊决策信息系统中信息融合的加权多粒度方法,提出了加权广义,加权乐观,加权悲观固定混合算子和可能混合算子,研究了一些相关性质并给出了三种混合算子之间的关系.最后通过一个具体的实例说明所提方法的有效性.
Multi-source information systems are often used to represent complex deta from multiple information sources.With the advent of the era of big data,information fusion has become a research hospot of artificial intelligence.Many existing multi-source decision fusion methods select more reliable information from multi-source decision information system,but it will have information loss.In order to solve this problem,this paper proposes a weighted multi-granularity method for information fusion in multi-source intuitionistic fuzzy decision information system.The weighted generalized,weighted optimistic,weighted pessimisted fixed aggregation operator and possible aggregation operator,and the relevant properties and the relations between the three mixed operators are studied.Finally,an example is given to verify the effectiveness of the proposed method.
作者
王虹
李宏
陈喜娥
WANG Hong;LI Hong;CHEN Xi-e(College of Mathematics and Computer Science,Shan'xi Normal University,Linfen 041004,China;Department of Basic Sciences,Shanxi Institute of Energy,Taiyuan 030600,China)
出处
《数学的实践与认识》
2021年第8期192-202,共11页
Mathematics in Practice and Theory
基金
省自然科学基金(201901D111280)。
关键词
加权多粒度方法
决策支持特征函数
决策相关特征函数
固定混合算子
可能混合算子
weighted multi-granulation method
decision support characteristic function
decision related characteristic function
fixed aggregation operator
possible aggregation operator
