期刊文献+

函数S-粗集,函数粗集与信息系统规律拆分-合成 被引量:13

Function S-Rough Sets,Function Rough Sets and Separation-Composition of Law for Information Systems
在线阅读 下载PDF
导出
摘要 给出函数单向S-粗集(function one direction singular rough sets)、函数单向S-粗集对偶(dual of function one direction singular rough sets)、函数双向S-粗集(function two direction singular rough sets)与函数粗集(function roughsets)。它们都是把函数概念引入到S-粗集中,改进S-粗集得到的。函数粗集是把函数概念引入到Z.Pawlak粗集中,改进Z.Pawlak粗集得到的。函数单向S-粗集、函数单向S-粗集对偶、函数双向S-粗集是函数S-粗集的三类形式。给出函数S-粗集与S-粗集的关系;给出函数粗集与Z.Pawlak粗集的关系;给出函数S-粗集与函数粗集的关系。利用这些结果,给出函数的区间离散与有限元素集的生成、函数离散-元素集合生成原理;给出函数S-粗集生成的信息规律、函数等价类动态特性-属性补充与删除原理;给出数据拆分-合成原理、信息规律动态拆分-合成的属性特征;给出信息规律动态拆分-合成不变性原理;利用这些概念与结果,给出信息规律拆分-合成与信息图像嵌入-分离的应用,给出嵌入信息图像的分离-辨识。函数S-粗集、函数粗集是粗集理论与应用研究中的一个新的研究方向。 Function one direction singular rough,dual of function one direction singular rough sets and function two direction singular rough sets were given.They are three types of forms about function S-rough sets.They came from improved S-rough sets by introducing function concept to S-rough sets.Function rough sets came from improved Z.Pawlak rough sets by introducing function concept to Z.Pawlak rough sets.This paper gave the relation between function S-rough sets and function S-rough sets,the relation between function S-rough sets and Z.Pawlak rough sets,the relation between function S-rough sets and function rough sets.Using these results,this paper presented the generation of the interval discretization for function and finite element set,the principle of function discretization and element generation,the information law which was generated by function S-rough sets,the principle of the dynamic properties for function equivalence class and supplementary and deletion for properties,the separation-composition principle for data,the attri-bute characteristics of the dynamic separation-composition for information law,the invariance principle of the dynamic separation-composition for information law and so on.Using these concepts and results,the application of the separation-composition for information law,the application of embedment-separation for information images and the separation-identification of embedded information images were given.In short,function S-rough sets and S-rough sets are a new research direction in rough sets.
作者 史开泉
出处 《计算机科学》 CSCD 北大核心 2010年第10期1-10,共10页 Computer Science
基金 山东省自然科学基金项目(Y2007H02)资助
关键词 函数S-粗集 函数粗集 关系定理 信息规律生成 拆分-合成原理 信息图像嵌入 应用 Function S-rough sets Function rough sets Relation theorem Information law generation Separation-Composition principle Information image embedment Application
  • 相关文献

参考文献22

  • 1史开泉.S-粗集与数据挖掘单位圆特征[J].计算机科学,2010,37(5):1-8. 被引量:8
  • 2Pawlak Z. Rough sets[J]. International Journal of Computer and Information Sciences, 1982,32 (11) : 341-356.
  • 3Shi Kaiquan. S-rough sets and its applications in diagnosis-recognition for disease[J]. IEEE Proceedings of the First International Conference on Machine Learning and Cybernetics, 2002,1 (1):50-54.
  • 4史开泉,崔玉泉.S-粗集和它的一般结构[J].山东大学学报(理学版),2002,37(6):471-474. 被引量:175
  • 5Shi Kaiquan, Cui Yuquan. F-decomposition anchF-reduction of S- rough sets[J]. An International Journal Advances in Systems Science and Applications, 2004,4 (4) : 487-499.
  • 6Shi Kaiquan, Chang Tingcheng. One direction S-rough sets[J]. International Journal of Fuzzy Mathematics, 2005, 13 (2) : 319- 334.
  • 7Shi Kaiquan. Two direction S-rough sets[J]. International Journal of Fuzzy Mathematics, 2005,13 (2) : 335-349.
  • 8史开泉,崔玉泉.S-粗集与它的分解还原[J].系统工程与电子技术,2005,27(4):644-651. 被引量:55
  • 9Shi Kaiquan 1,21. School of Mathematics and System Sciences, Liaocheng University, Liaocheng 252059, P. R. China,2. School of Mathematics and System Sciences, Shandong University, Jinan 250100, P. R. China.S-rough sets and knowledge separation[J].Journal of Systems Engineering and Electronics,2005,16(2):403-410. 被引量:104
  • 10Hu Haiqing, Wang Hongyu, Shi Kaiquan. Two direction S-rough recognition of knowledge and recognition model[J]. An International Journal Advances in Systems Science and Applications, 2005,5 (3) : 368-374.

二级参考文献75

共引文献369

同被引文献108

引证文献13

二级引证文献61

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部