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图表示下的知识约简
引用本文:苗夺谦,陈玉明,王春智,张红云.图表示下的知识约简[J].电子学报,2010,38(8):1952-1957.
作者姓名:苗夺谦  陈玉明  王春智  张红云
作者单位:1. 同济大学计算机科学与技术系,上海 201804;2. 厦门理工学院计算机科学与技术系,福建厦门 361024
摘    要: 知识约简主要有代数表示下的知识约简和信息表示下的知识约简.本文提出图表示下的知识约简,给出图表示下求最小约简的完备递归算法.借鉴人工智能理论中的图搜索技术,提出旋转剪枝和回溯剪枝两个搜索算子求最小约简,并证明了在这种表示下求最小约简的完备性,理论分析和实验结果表明,在图表示下求最小约简是有效可行的.

关 键 词:粗糙集  约简  幂图  图表示
收稿时间:2008-06-18

Knowledge Reduction Algorithm under Graph View
MIAO Duo-qian,CHEN Yu-ming,WANG rui-zhi,ZHANG Hong-yun.Knowledge Reduction Algorithm under Graph View[J].Acta Electronica Sinica,2010,38(8):1952-1957.
Authors:MIAO Duo-qian  CHEN Yu-ming  WANG rui-zhi  ZHANG Hong-yun
Affiliation:1. Department of Computer Science and Technology,Tongji University,Shanghai 201804,China;2. Department of Computer Science and Technology,Xiamen University of Technology,Xiamen,Fujian 361024,China
Abstract:Knowledge reduction is widely studied under algebra view and information view.In this paper,knowledge reduction under graph view is presented.A complete recursive algorithm for minimal reduction under graph view is designed.In virtue of graph searching methods of artificial intelligence,rotation pruning operator and backtracking pruning operator for answering the minimal reduction question are proposed.These methods’ completeness for the minimal reduction is proved.In order to test the efficiency of the algorithm,some experiments are made on simulative data.Theoretical analysis and experimental results show that the reduction algorithm under graph view is efficient and feasible.
Keywords:rough sets  reduction  power graph  graph view
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