摘要
针对决策表,引入了偏序粒的概念,提出了一种基于偏序粒的动态决策规则提取算法。该算法利用了偏序粒在粒度表达上的优势,区别于经典粗糙集理论中采用的单一等价关系,对同一决策表从不同的角度和多个层次来研究。实例表明该算法是有效的。
Concerning decision table, the concept of partial granulation was introduced, and an algorithm of dynamic mining of decision rules based on partial granulation was proposed. By making use of the advantage of characterizing granularity of partial granulation, different from the single equivalence relation in the classical rough set theory, this algorithm can study one decision table from different angles and different hierarchies. The case study shows that this algorithm is effective.
出处
《计算机应用》
CSCD
北大核心
2007年第3期556-558,共3页
journal of Computer Applications
基金
国家自然科学基金资助项目(70471003)
高等学校博士学科点专项科研(20050108004)
山西省高等学校拔尖创新人才基金资助项目
教育部科学技术研究重点项目(2006017)
关键词
决策表
偏序粒
决策规则
粒度
动态挖掘
decision table
partial granulation
decision rule
granularity
dynarnie mining
