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Fuzzy Multivariant Analysis

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Book cover Knowledge-Based Intelligent Information and Engineering Systems (KES 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3215))

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Abstract

In this paper we will analyze data obtained from a fuzzy set, where samples are defined using a membership grade of a fuzzy set. Generally, multivariant model is to analyze samples characterized using plural variants. In this paper such smaples are also characterized by a fuzzy set. Our aim is to build fuzzy discriminant model and fuzzy pattern classification model.

This article is presented at KES2004 on September 20-25, 2004, in New Zealand. All inquires can be sent to Junzo Watada, Professor / Waseda University / Graduate School of Information, Production and Systems / 2-2, Hibikino Wakamatsu-ku, Kitakyushu, Fukuoka 808-0135, Japan / e-mail: junzow@osb.att.ne.jp

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References

  1. Watada, J., Tanaka, E., Asai, K.: Fuzzy Quantification Type II. The Japanese Journal of Behaviormetrics (Behaviormetric Society of Japan) 9(2), 24–32 (in Japanese)

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  3. Watada, J., Tanaka, E., Asai, K.: Fuzzy Quantification Theory Type T. The Japanese Journal of Behaviormetrics (Behaviormetric Society of Japan) 11(1), 66–73 (1984)

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  4. Zadeh, L.A.: Fuzzy Sets. Information and Control 8, 338–353 (1965)

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Author information

Authors and Affiliations

  1. Graduate School of Information, Production and Systems, Waseda University, Japan

    Junzo Watada & Masato Takagi

  2. School of Electric Engineering, Gyeonsang National University, Japan

    Jaeseok Choi

Authors
  1. Junzo Watada
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  2. Masato Takagi
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  3. Jaeseok Choi
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Editor information

Editors and Affiliations

  1. KES International, 2nd Floor, 145-157 St John Street, EC1V 4PY, London, United Kingdom

    Mircea Gh. Negoita

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, SA, Australia

    Lakhmi C. Jain

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© 2004 Springer-Verlag Berlin Heidelberg

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Watada, J., Takagi, M., Choi, J. (2004). Fuzzy Multivariant Analysis. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30134-9_24

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  • DOI: https://doi.org/10.1007/978-3-540-30134-9_24

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23205-6

  • Online ISBN: 978-3-540-30134-9

  • eBook Packages: Springer Book Archive

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