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S-粗集上(f,f)-知识的特性及应用

(f,)-knowledge characteristics and application on s-rough sets
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摘要 利用已有的理论[1-6],给出了(f,f)-知识膨胀度与萎缩度的概念,讨论了(f,f)-知识与f-知识以及(f,f)知识与f-知识的关系,提出了(f,f)-知识膨胀与萎缩平衡定理、(f,f)-知识集上知识膨胀链定理、(f,f)-知识集上知识萎缩链定理,以及(f,f)-知识的应用. Using the previous theory, we gave the concept of (f,f^-)-knowledge expansion contraction,further discussed the relation between (f,f^-)-knowledge andf-knowledge, andf-know lgdge, and advanced (f,f^-)-knowledge expansion and contraction counteract theorem, knowledge expansion theorem oil (f,f^-)-knowledge sets, knowledge contraction theorem oil (f,f^-)-knowledge sets, and the applications of (f,f^-)-knowledge.
机构地区 黄淮学院数学系
出处 《海南师范学院学报(自然科学版)》 2005年第3期204-208,共5页 Journal of Hainan Normal University:Natural Science
基金 河南省自然科学基金资助项目(0511012700)
关键词 (f f^-)-知识 (f f^-)-膨胀度 (f f^-)-萎缩度 (f,f^-)-knowledge (f,f^-)-expansion (f,f^-)-contraction
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参考文献8

  • 1周厚勇,李东亚,朱鹏飞.S-粗集上的知识特性[J].山东大学学报(理学版),2005,40(2):13-16. 被引量:3
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二级参考文献7

  • 1史开泉.S-粗集与它的两类基本形式.计算机科学,2004,10:24-27.
  • 2Kaiquan Shi. S-rough sets and its application in diagnosis-rcognition for disease[J]. IEEE Proceedings of the First International Conference on Machine Learning and Cybernetics,2002,4(1):50-54.
  • 3Kaiquan Shi, Yuquan Cui. F-decomposition and -reduction of S-rough sets[J]. An International Journal of Advances in Systems Science and Applications,2004,4:487-499.
  • 4Shoufeng Yin, Haiqing Hu, Kaiquan Shi. Rough recognition of knowledge and its application[J]. An International Journal of Advances in Systems Sciences and Applications, 2004,1:13-22.
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  • 7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:174

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