Granular computing for Intelligent Social Network modeling and cooperative decisions

R. Yager
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引用次数: 13

Abstract

Our objective here is to take a step toward the development of intelligent social network analysis using granular computing. In particular one can start by expressing in a human focused manner concepts associated with social networks then formalize these concepts using fuzzy sets and then evaluate these concepts with respect to social networks which have been represented using set based relational network theory. We capture this approach in what we call the paradigm for intelligent social network analysis, ISNA. Using this paradigm we provide definitions of a number of concepts related to social networks.
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基于粒度计算的智能社会网络建模与协同决策
我们的目标是朝着使用粒度计算开发智能社会网络分析迈出一步。特别是,人们可以首先以以人为中心的方式表达与社会网络相关的概念,然后使用模糊集将这些概念形式化,然后根据使用基于集的关系网络理论表示的社会网络来评估这些概念。我们在智能社会网络分析的范例ISNA中捕捉到了这种方法。使用这种范式,我们提供了与社交网络相关的许多概念的定义。
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