Approach for Variable Precision Rough Set Based on Preference Relation with Incomplete Information
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摘要: 利用Ziarko变精度粗集模型与Greco扩展粗集模型研究不完全信息系统,提出新的基于偏好关系的不完全信息系统变精度粗集决策模型.该模型克服了传统决策方法的主观性和无法处理信息不完全系统决策问题的不足.用案例验证了模型的可行性和有效性.Abstract: A variable precision rough set model based on preference relation with incomplete information was proposed using Ziarko’s variable precision rough set model and Greco’s expanded rough set model. The new model was to overcome the subjectivity and weakness of traditional decision-making method in dealing with incomplete information systems. A case study was presented to validate the feasibility and validity of the proposed method.
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