Abstract
This chapter focuses on using interval TSK type-2 fuzzy inference to execute a Web Information Search Task (WIST). Type-2 fuzzy inference is helpful to address the “rule uncertainty problem” to improve the performance of a WIST because less prediction error can be achieved. On the other hand, type-2 fuzzy inference is generally computational intensive; this chapter proposes a simple idea to simplify the computation for interval TSK type-2 fuzzy inference.
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References
Sankar K. Pal, “Web Mining in Soft Computing Framework: Relevance, State of the Art and Future Directions,” IEEE Transactions on Neural Networks, vol. 13, no. 5, 2002, pp 1163–1177.
Ivan Ricarte, “A Reference Model for Intelligent Information Search,” In Proceedings of the 2001 BISC International Workshop on Fuzzy Logic and the Internet, August, 2001, pp 80–85.
Soumen Chakrabarti, “Data Mining for Hypertext: A Tutorial Survey,” SIGKDD: SIGKDD Exploration: Newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining, ACM1(2), 2000, pp 1–11.
Y. Tang, Y.-Q. Zhang, “Smart Homepage-Finder — A TSK-Based Genetic Fuzzy Information Filtering Agent for Searching Homepages Intelligently,” Enhancing the Power of the Internet — Studies in Fuzziness and Soft Computing (M. Nikravesh, L. A. Zadeh, B. Azvine, R. R. Yager), Springer, 2003, pp 379–389.
Liang, Q. and J. M. Mendel, “Interval Type-2 Fuzzy Logic Systems: Theory and Design,” IEEE Trans. On Fuzzy Systems, Vol. 8, 2000, pp 535–550.
J.-S. R. Jang, C.-T. Sun, E. Mizutani, Neuro-Fuzzy and Soft Computing, A Computational Approach to Learning and Machine Intelligence, Prentice Hall, Upper Saddle River, NJ, 1st edition, 1996, pp 81–84.
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© 2005 Springer-Verlag Berlin Heidelberg
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Tang, Y., Zhang, YQ. (2005). Intelligent Type-2 Fuzzy Inference for Web Information Search Task. In: Nikravesh, M., Zadeh, L.A., Kacprzyk, J. (eds) Soft Computing for Information Processing and Analysis. Studies in Fuzziness and Soft Computing, vol 164. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32365-1_20
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DOI: https://doi.org/10.1007/3-540-32365-1_20
Publisher Name: Springer, Berlin, Heidelberg
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