A New Information Fusion Method for Fuzzy Information Retrieval

نویسندگان

  • Hsuan-Shih Lee
  • Ming-Tao Chou
  • Wei-Kuo Tseng
  • Hsin-Hsiung Fang
  • Chen-Huei Yeh
چکیده

In this paper, we present a new prioritization method for information fusion under fuzzy environment. We propose a new measure to measure the similarity between generalized trapezoidal fuzzy numbers. Based on the proposed similarity measure, we develop an utility function of generalized trapezoidal fuzzy numbers. With the utility function of generalized trapezoidal fuzzy numbers, we propose a new method to handle the problems of fuzzy information retrieval where fuzzy numbers are used to represent the degrees of strength at which documents satisfy prioritized criteria.

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تاریخ انتشار 2007