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Qualitative Cognition for Uncertainty Knowledge Using Cloud Model

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Semantic Web and Web Science

Part of the book series: Springer Proceedings in Complexity ((SPCOM))

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Abstract

Concepts are basic elements of natural language processing, studying on concept representation and transformation between connotation and extension become more and more important. Multi-granularity concept extraction is still a difficult problem in uncertainty knowledge representation. Cloud model is an uncertainty cognition model, which realizes the bidirectional transformation between a qualitative concept and quantitative data by Gaussian cloud algorithm. Gaussian cloud transformation provides a method to transform a group of data in problem domain to multiple concepts in different granularities in cognition domain. This paper introduces cloud model and Gaussian cloud transformation algorithm to describe the multi-granularity concepts. A case study is also given to prove the effectiveness of the proposed method.

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References

  1. Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning–1 [J]. Info. Sci. 8, 199–249 (1975)

    Article  MathSciNet  MATH  Google Scholar 

  2. Wang, Z.: Probability theory and its applications. Beijing Normal University Press, Beijing (1995)

    Google Scholar 

  3. Li, D., Du, Y.: Artificial intelligent with uncertainty [M]. Chapman & Hall/CRC, London (2007)

    Book  Google Scholar 

  4. Liu, Y., Deyi, L., Guangwei, Z.: Atomized feature in cloud based evolution algorithm. Acta Electronics Sinica 37(8), 1651–1658 (2009)

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Acknowledgments

This work is supported by the Key Program of the National Natural Science Foundation of China under Grant Nos. 61035004 and 91120306.

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Authors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, China

    Yuchao Liu & Juanzi Li

  2. Astronaut Center of China, Beijing, 100193, China

    Lin Li

Authors
  1. Yuchao Liu
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  2. Lin Li
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  3. Juanzi Li
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Corresponding author

Correspondence to Yuchao Liu .

Editor information

Editors and Affiliations

  1. , Dept. of Computer Science and Technology, Tsinghua University, Room 10-206, East main building, Beijing, 100084, China, People's Republic

    Juanzi Li

  2. , School of Comp. Sci. & Eng., Southeast University, Dongda Road 2, Nanjing, 211189, Jiangsu, China, People's Republic

    Guilin Qi

  3. Peking University, Inst. of Computer Science & Tech., North Zhongguancun Street 128, Beijing, 100871, China, People's Republic

    Dongyan Zhao

  4. L3S Research Center, Leibniz University Hannover, Appelstr. 4, Hannover, 30167, Germany

    Wolfgang Nejdl

  5. Tsinghua Campus H202B, Shenzhen City, 518055, China, People's Republic

    Hai-Tao Zheng

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Liu, Y., Li, L., Li, J. (2013). Qualitative Cognition for Uncertainty Knowledge Using Cloud Model. In: Li, J., Qi, G., Zhao, D., Nejdl, W., Zheng, HT. (eds) Semantic Web and Web Science. Springer Proceedings in Complexity. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6880-6_35

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  • DOI: https://doi.org/10.1007/978-1-4614-6880-6_35

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-6879-0

  • Online ISBN: 978-1-4614-6880-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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