Component Similarity Based Conflict Analysis: An Information Fusion Viewpoint

Abstract

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 In many cases, conflict analysis based on single valued information systems is no longer valid, such as TCM diagnosis.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 in an information fusion viewpoint is proposed to realize conflict analysis in a distributed environment. More importantly, it is revealed that the conflict analysis results of distributed systems are not simply the sum of the conflict analysis results of all information sources, i.e., they are not directly determined by the conflict analysis results of a single information source. Finally, experimental results verify that the information fusion based conflict analysis method can greatly reduce time consumption while obtaining accurate conflict analysis results. This work will bring a novel idea to the component similarity based data analysis in an information fusion viewpoint.

Keywords: Conflict analysis, Concept lattice, Set-valued formal context, information fusion