相似性(几何)
计算机科学
冲突分析
组分(热力学)
集合(抽象数据类型)
形式概念分析
数据挖掘
信息融合
成分分析
理论计算机科学
人工智能
算法
冲突解决
物理
政治学
法学
图像(数学)
热力学
程序设计语言
标识
DOI:10.1016/j.inffus.2023.102157
摘要
Conflict is ubiquitous in social life. In many cases, conflict analysis based on single-valued information systems is no longer valid, such as TCM diagnosis. To this end, we model this problem as component similarity based conflict analysis. Specifically, we put forward a type of three-way n-valued concept lattices to handle set-valued formal contexts, based on which conflict analysis is performed by considering component similarity. What is more, a method from an information fusion viewpoint is proposed to realize fast conflict analysis. Finally, experimental results verify that the information fusion based conflict analysis method can greatly reduce time consumption in most occasions due to the fact that it produces less concepts with less time, and spends less time on visiting the concept space to determine the conflict states. This work will bring a novel idea to the component similarity based distributed big data analysis.
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