Prioritized information fusion for fuzzy information retrieval

  • Authors:

  • Won-Sin Hong;Shi-Jay Chen;Li-Hui Wang;Shyi-Ming Chen

  • Affiliations:

  • Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan;Department of Information Management, National United University, Mial-Li, Taiwan;Department of Finance, Chihlee Institute of Technology, Banciao City, Taipei County, Taiwan;(Correspd. Tel.: +886 2 27376417/ E-mail: smchen@mail.ntust.edu.tw) Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan

  • Venue:
  • Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
  • Year:
  • 2007

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Abstract

In this paper, we present a new 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. The proposed prioritized information fusion method can retrieve documents more analogous to the intuition of the human being than Chen-and-Chen's method [8] and Yager's method [21]. It can overcome their drawbacks for dealing with document retrieval.