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
Note: [] Corresponding author: Professor Shyi-Ming Chen, Ph.D.,
Department of Computer Science and Information Engineering, National Taiwan
University of Science and Technology, 43, Section 4, Keelung Road, Taipei
106, Taiwan. Tel.: +886 2 27376417; E-mail: smchen@mail.ntust.edu.tw
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.
Keywords: Prioritized information fusion, generalized trapezoidal fuzzy numbers, center-of-gravity method, fuzzy information retrieval
