Research Progress of Complex Network Modeling Methods Based on Uncertainty Theory

A complex network in reality contains a large amount of information, but some information cannot be obtained accurately or is missing due to various reasons. An uncertain an effective mathematical model deal with this problem, its related research still infancy. In order facilitate the into uncertainty theory modeling, paper summarizes and analyzes hotspots set pair analysis, rough fuzzy modeling. This firstly introduces three kinds theories: basic definition sets sets, as well their modeling networks. Secondly, we aim at theories establishment specific models. The latest progress networks reviewed, main application fields are discussed, respectively: community discovery, link prediction, influence maximization decision-making problems. Finally, prospect development put forward.