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.
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© 2007 Springer-Verlag Berlin Heidelberg
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Lee, HS., Chou, MT., Tseng, WK., Fang, HH., Yeh, CH. (2007). A New Information Fusion Method for Fuzzy Information Retrieval. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4693. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74827-4_161
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DOI: https://doi.org/10.1007/978-3-540-74827-4_161
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74826-7
Online ISBN: 978-3-540-74827-4
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