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Fuzzy Information and Engineering 2010 pp 529–537Cite as

Measurement of Knowledge Granularity and Relationship between the Digital Features about Knowledge Divided

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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 78))

Abstract

This essay introduces the concepts of knowledge granularity and information systems. On this basis, we propose two new more general knowledge granularities: the combination granularity and polynomial granularity, which include the current common knowledge granularity. The results for the establishment of granular computing in the complete information system have some theoretical significance and practical values. In addition, we also discuss the digital feature about knowledge divided and the relationship between it and knowledge granularity.

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References

  1. Pawlak, Z.: Rough Sets. International Journal of Computer and Information Science 11(5), 341–356 (1982)

    Article  MATH  MathSciNet  Google Scholar 

  2. Zadeh, L.A.: Toward a Theory of Fuzzy Information Granulation and Its Centrality in Human Reasoning and a Fuzzy Logic. Fuzzy Sets and System 19(1), 111–127 (1997)

    Article  MathSciNet  Google Scholar 

  3. Zadeh, L.A.: Fuzzy Logic Computing with Words. IEEE Trans on Fuzzy Systems 4(2), 103–111 (1996)

    Article  MathSciNet  Google Scholar 

  4. Zhao, M.Q., Yang, Q., Gao, D.Z.: Axiomatic Definition of Knowledge Granularity and Its Constructive Method. In: Wang, G., Li, T., Grzymala-Busse, J.W., Miao, D., Skowron, A., Yao, Y. (eds.) RSKT 2008. LNCS (LNAI), vol. 5009, pp. 348–354. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  5. Wang, G.Y.: Rough Sets and Knowledge Discovery. Xian Jiaotong University Press, Xian (2001)

    Google Scholar 

  6. Li, D.G., Miao, D.Q.: Review of Granular Computing. Computer Science 32(9) (2005)

    Google Scholar 

  7. Liang, J.Y., Qian, Y.H.: Information particle and entropy in the information System. Science in China (12), 2048–2065 (2008)

    Google Scholar 

  8. Zhao, M.Q., Yang, Q.: Axiomatic Definition of Knowledge Granularity and Its Constructive Method in the incomplete information system. Pattern Recognition and Artificial Intelligence 6, 728–732 (2008)

    Google Scholar 

  9. Miao, D.Q., Fan, S.D.: Size calculation and application of knowledge. Systems Engineering Theory and Practice 1, 48–56 (2002)

    Google Scholar 

  10. Fin, R., Miao, D.Q.: Partition granularity of knowledge representation. Pattern Recognition and Artificial Intelligence 22(1), 26–30 (2009)

    Google Scholar 

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Author information

Authors and Affiliations

  1. College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao, 266510, Shandong, P.R. China

    Lei Zhao, Mingqing Zhao & Yang Zhao

Authors
  1. Lei Zhao
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  2. Mingqing Zhao
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  3. Yang Zhao
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Editor information

Editors and Affiliations

  1. School of Mathematics and Information Science Guangzhou Higher Education Mega Center , Guangzhou University, 230Wai Huan Xi Road, ZIP 510006, Guangdong, China

    Bing-yuan Cao

  2. Shaanxi Normal University, China

    Guo-jun Wang

  3. Institute of Mathematics and Systems Science, Liaoning Technical University , 123000, China

    Si-zong Guo

  4. School of Science, Jimei University , 361021, Xiamen, Fujian, China

    Shui-li Chen

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© 2010 Springer-Verlag Berlin Heidelberg

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Cite this paper

Zhao, L., Zhao, M., Zhao, Y. (2010). Measurement of Knowledge Granularity and Relationship between the Digital Features about Knowledge Divided. In: Cao, By., Wang, Gj., Guo, Sz., Chen, Sl. (eds) Fuzzy Information and Engineering 2010. Advances in Intelligent and Soft Computing, vol 78. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14880-4_58

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  • DOI: https://doi.org/10.1007/978-3-642-14880-4_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14879-8

  • Online ISBN: 978-3-642-14880-4

  • eBook Packages: EngineeringEngineering (R0)

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