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A New Prioritized Information Fusion Method for Handling Fuzzy Information Retrieval Problems

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Fuzzy Systems and Knowledge Discovery (FSKD 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3613))

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Abstract

In this paper, we present a new prioritized information fusion method for handling fuzzy information retrieval problems. We also present a new center-of-gravity method for ranking generalized fuzzy numbers. Furthermore, we also extend the proposed prioritized information fusion method for handling fuzzy information retrieval problems in the generalized fuzzy number environment, where generalized fuzzy numbers are used to represent the degrees of strength with which documents satisfy particular criteria.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, R. O. C.

    Won-Sin Hong & Shyi-Ming Chen

  2. Department of Information Management, National United University, Miao-Li, Taiwan, R. O. C.

    Shi-Jay Chen

  3. Department of Finance, Chihlee Institute of Technology, Panchiao, Taipei County, Taiwan, R. O. C.

    Li-Hui Wang

Authors
  1. Won-Sin Hong
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  2. Shi-Jay Chen
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  3. Li-Hui Wang
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  4. Shyi-Ming Chen
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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. Honda Research Institute Europe GmbH, Offenbach/Main, Germany

    Yaochu Jin

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© 2005 Springer-Verlag Berlin Heidelberg

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Hong, WS., Chen, SJ., Wang, LH., Chen, SM. (2005). A New Prioritized Information Fusion Method for Handling Fuzzy Information Retrieval Problems. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539506_86

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  • DOI: https://doi.org/10.1007/11539506_86

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28312-6

  • Online ISBN: 978-3-540-31830-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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