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International Conference on Fuzzy Systems and Knowledge Discovery

FSKD 2006: Fuzzy Systems and Knowledge Discovery pp 344–354Cite as

Knowledge Acquisition in Vague Objective Information Systems

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4223))

Abstract

Vague set is a new theory in the field of fuzzy information processing. In order to extract vague knowledge from vague information systems effectively, a generalized rough set model, rough vague set, is proposed. Its algebra properties are discussed in detail. Based on rough vague set, the approaches for low approximation and upper approximation distribution reductions are also developed in vague objective information systems(VOIS). Then, the method of knowledge requisition from VOIS is developed. These studies extended the corresponding methods in classical rough set theory, and provide a new approach for uncertain knowledge acquisition.

This paper is supported by National Natural Science Foundation of P.R. China (No.60373111, No.60573068), Program for New Century Excellent Talents in University (NCET), Natural Science Foundation of Chongqing of China, and Research Program of the Municipal Education Committee of Chongqing of China (No.040505).

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Author information

Authors and Affiliations

  1. Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, 400065, P.R. China

    Lin Feng, Guoyin Wang, Yong Liu & Zhenguo Zhu

  2. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, 610031, P.R. China

    Lin Feng

  3. Department of Engineering and Technology, Sichuan Normal University, Chengdu, 610072, P.R. China

    Lin Feng

Authors
  1. Lin Feng
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  2. Guoyin Wang
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  3. Yong Liu
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  4. Zhenguo Zhu
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University,, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. Life Science Research Center, School of Electronic Engineering, Xidian University,, 710071, Xi’an, Shaanxi, China

    Licheng Jiao

  3. School of Electrical and Electronic Engineering, Xidian University, 710071, Xi’an, China

    Guanming Shi

  4. School of Information Technology and Electrical Engineering, The University of Queensland, 4072, Brisbane, Queensland, Australia

    Xue Li

  5. College of Mathematics and Information Science, Hebei Normal University, 050016, Shijiazhuang, Hebei, P.R. China

    Jing Liu

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© 2006 Springer-Verlag Berlin Heidelberg

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Cite this paper

Feng, L., Wang, G., Liu, Y., Zhu, Z. (2006). Knowledge Acquisition in Vague Objective Information Systems. In: Wang, L., Jiao, L., Shi, G., Li, X., Liu, J. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2006. Lecture Notes in Computer Science(), vol 4223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881599_39

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  • DOI: https://doi.org/10.1007/11881599_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-45916-3

  • Online ISBN: 978-3-540-45917-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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