A New Information Fusion Method for Fuzzy Information Retrieval

  • Authors:

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

  • Affiliations:

  • Department of Shipping and Transportation Management, National Taiwan Ocean University, Keelung 202, Taiwan;Department of Aviation and Maritime Management, Chang Jung Christian University, Tainan 711, Taiwan;Department of Shipping and Business Management, China College of Marine Technology and Commerce, Taipei 111, Taiwan;Department of Shipping and Transportation Management, National Taiwan Ocean University, Keelung 202, Taiwan and Department of Shipping and Business Management, China College of Marine Technology a ...;Department of Shipping and Transportation Management, National Taiwan Ocean University, Keelung 202, Taiwan and Yang Ming Marine Transport Corporation,

  • Venue:
  • KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
  • Year:
  • 2007

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Abstract

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.