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在粗糙模糊集模型中,被逼近的目标概念是一个模糊集,使用的知识是等价关系,即描述对象的属性是离散值的。但在很多实际应用中,描述对象的属性是实数值的。针对这一问题,将粗糙模糊集模型中的等价关系推广为相容关系,提出了相容粗糙模糊集模型。当相容关系退化为等价关系时,相容粗糙模糊集模型即为粗糙模糊集模型。相容粗糙模糊集模型扩展了粗糙模糊集的应用范围。
In the rough fuzzy set model, the target concept to be approximated is a fuzzy set, and the knowledge used is the equivalent relation, that is, the attributes of the describing objects are discrete values. However, in many practical applications, the properties of the description object are real values. In view of this problem, the equivalence relations in rough fuzzy sets model are generalized as compatible relations, and a compatible rough fuzzy sets model is proposed. When the compatible relation degenerates into the equivalence relation, the compatible rough fuzzy set model is the rough fuzzy set model. The compatible rough fuzzy set model extends the application of rough fuzzy set.