Rough Control Rule Mining Model Based on Decision Interval Concept Lattice and Its Application

• 作者: Ailing Sun Chunying Zhang Liya Wang Zhijiang Wang
• 来源期刊: 国际计算机前沿大会会议论文集
• 学科: 社会科学
• 关键词: ROUGH control DECISION INTERVAL concept lattice ATTRIBUTE DISCRETIZATION DECISION RULE mining
• 年，卷（期）: 2015,（B12）
• 页码范围: 21-23
• 页数: 3页
• 分类号: C5

摘要

Fusing the structure feature of interval concept lattice and the actual needs of rough control rules,we have constructed the decision interval concept lattice,further more,we also have built a rules mining model of rough control based on decision interval concept lattice,in order to achieve the optimality between rough control mining cost and control efficiency.Firstly,we have preprocessed the collected original data,so that we can transform it into Boolean formal context form,and then we have constructed the decision interval concept lattice in rough control;secondly,we have established the control rules mining algorithm based on decision interval concept lattice.By analyzing and judging redundant rules,we have formed the rough control association rule base in end.Analysis shows that under the premise of improving the reliability of rules,we have achieved the rough control optimization goal between cost and efficiency.Finally,the model of reservoir scheduling has verified its feasibility and efficiency.