直觉模糊集及其在网络舆情中的应用

Intuition fuzzy set and its application in network public opinion

网络舆情是社会舆情在互联网空间的映射,是社会舆情的直接反映。由于实际问题的模糊性,模糊理论是一种有效的解决问题的工具。直觉模糊集在传统模糊集的基础上,增加了非隶属度因子,从而可以更充分、更准确地刻画不确定信息。本文从直觉模糊集的角度出发,概述了现有的理论及应用成果,包括直觉模糊集的基本概念、运算等,以及决策领域的信息测度、聚合算子、多属性决策方法。本文重点研究直觉模糊集在网络舆情决策领域的应用价值,探讨了当前的研究现状以及未来的发展方向。

Online public opinion is the mapping of social public opinion in the internet space and a direct reflection of social public opinion.Due to the ambiguity of practical problems,fuzzy theory is an effective tool for solving problems.Intuition fuzzy sets add non membership factors on the basis of traditional fuzzy sets,which can more fully and accurately characterize uncertain information.In this article an overview of existing theories and application achievements was provided from the perspective of intuition fuzzy sets,including the basic concepts and operations of intuition fuzzy sets,as well as information measures,aggregation operators,and multi-attribute decision-making methods in the decisionmaking field.The application value of intuition fuzzy sets in the field of online public opinion decisionmaking was focused on,and the current research status and future development directions were explored.