基于集合论的另一种检索模型是 建立在模糊集合论（Fuzzy Set Theory）基础上的模糊集合模型（Fuzzy Set Model）。这方面的研究工作开始于1973年C V Negoita［20】尝试用模糊逻辑来 解释信息检索原理。
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Fuzzy-set Model 模糊集模式
variable fuzzy set model 模糊可变评价模型
Fuzzy Set Plasticity Model 模糊集塑性模型
Fuzzy Set Reclassfication Model 模糊集再分类
model of fuzzy set 模糊集模型
By combining fuzzy set theory and rough set theory, rough fuzzy set model and fuzzy rough set model were proposed, and the uncertain measurement approaches were established.
人们将粗糙集理论与模糊集理论相结合，提出了粗糙模糊集模型和模糊粗糙集模型，并给出了相应的不确定性度量方法。
Combined with Feature Value of Grades for results quantification, applying Variable Fuzzy Set model on assessment could overcome the unfitness of the maximum membership principle.
采用可变模糊集模型进行评价，以级别特征值方法量化评价结果，可有效解决最大隶属原则的不适应性。
For a multifactor weather prediction problem, this paper constructs a new model of fuzzy neural network based on rough set.
针对民用机场多因素气象预测问题的复杂性，该文构建出一种基于粗糙集的模糊神经网络模型。
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