Design and Algorithms Realization of Rough Set Simulation Tool Box
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference（2007）
摘要
The basic conception and trait of data analysis system based on rough set(RS) method are briefly described. Two important concepts of indiscernibility relation and relative positive region are mainly focused on. By using the dependant degree of knowledge, the algorithm of RS data analysis system is submitted. By comparing the numbers of reduced attributes, the result of minimal attributes reduction is selected. Program realization of many algorithms of solving relative core, upper (lower) approximation, equivalence relation, relatively significant degree, relatively attributes reduction, relatively value reduction, minimal decision rules is obtained. The MATLAB programs of above fields are given. MATLAB simulation tool box is designed. By imposing graphical user interface GUI method, the favorable man-machine alternation system main interface is devised. GUI programming method is particularly introduced by using a button example.
更多查看译文
关键词
relatively value reduction,rough set theory,minimal decision rule,relative positive region,man-machine systems,gui programming method,approximation theory,rough set simulation tool box,minimal attributes reduction,matlab simulation tool box,data analysis,upper approximation,data analysis system,dant degree,algorithms realization,mathematics computing,minimal decision rules,graphical user interfacegui method,indiscernibility relation,lower approximation,graphical user interfaces,relatively attributes reduction,man-machine alternation system,equivalence relation,relatively significant degree,favorable man-machine alternation system,matlab program,rough set simulation tool,rs data analysis system,rough set,decision rule,graphic user interface
AI 理解论文
溯源树
样例
生成溯源树，研究论文发展脉络
Chat Paper
正在生成论文摘要