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Factor Space and Normal Context on Concept Description

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International Conference on Oriental Thinking and Fuzzy Logic

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 443))

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Abstract

Normal concept analysis is an important mathematical branch on knowledge representation, but there are some defect points blocking the development of the theory. The authors of the paper suggests that the involution principle is put on basic concepts only and we does not need to emphasize the bi-directional involution. The single-directional involution is enough.

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Authors and Affiliations

  1. Dalian University, Dalian, 116622, China

    Kai-qi Zou & Li-na Shi

Authors
  1. Kai-qi Zou
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  2. Li-na Shi
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Corresponding author

Correspondence to Kai-qi Zou .

Editor information

Editors and Affiliations

  1. Guangzhou Vocational Collg. Sci. & Tech., Guangzhou, China

    Bing-Yuan Cao

  2. West Texas A&M University, Canyon,TX,USA, Liaoning Technical University, Fuxin, China

    Pei-Zhuang Wang

  3. Foreign Affairs Office, National Defense University, Beijing, China

    Zeng-Liang Liu

  4. School of Math and Info. Science, Guangzhou University, Guangzhou, China

    Yu-Bin Zhong

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Zou, Kq., Shi, Ln. (2016). Factor Space and Normal Context on Concept Description. In: Cao, BY., Wang, PZ., Liu, ZL., Zhong, YB. (eds) International Conference on Oriental Thinking and Fuzzy Logic. Advances in Intelligent Systems and Computing, vol 443. Springer, Cham. https://doi.org/10.1007/978-3-319-30874-6_40

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  • DOI: https://doi.org/10.1007/978-3-319-30874-6_40

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30873-9

  • Online ISBN: 978-3-319-30874-6

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