直觉模糊粗糙集推理规则的相容性研究

针对直觉模糊粗糙集（IFRS）逻辑推理规则的相容性问题，提出一种IFRS逻辑推理规则的不相容度检验算法。利用基于包含度的粗糙集模型，给出了IFRS逻辑推理规则的相容性定义，设计了不相容度检验算法。最后通过算例，验证了该算法的有效性和可行性。该算法可以有效处理属性值均为直觉模糊值的信息表，给出各IFRS逻辑推理规则间的不相容度，从而可对规则库中的规则进行相容性检验。

Research of rule-including with intuitionistic fuzzy rough reasoning

To the issue of rule-including with Intuitionistic Fuzzy Rough Sets (IFRS) logical reasoning, a checking algorithm of non-including with IFRS logical reasoning was presented. With the rough-model about inclusion degree, the definition of rule-including with IFRS logical reasoning was given; besides, the checking algorithm of non-including was also proposed. Finally, the algorithm was proved to be effective and feasible, and it can effectively deal with the information form whose property values are all fuzzy. In addition, the non-including degrees between IFRS logical reasoning rules were given which can check the rule-including in rule bases.