On probabilistic methods in fuzzy theory†

  1. Hung T. Nguyen1,*,
  2. Tonghui Wang1,
  3. Berlin Wu2

Article first published online: 12 JAN 2004

DOI: 10.1002/int.10154

Issue

International Journal of Intelligent Systems

International Journal of Intelligent Systems

Special Issue: Intelligent Technologies

Volume 19, Issue 1-2, pages 99–109, January - February 2004

Additional Information

How to Cite

Nguyen, H. T., Wang, T. and Wu, B. (2004), On probabilistic methods in fuzzy theory. Int. J. Intell. Syst., 19: 99–109. doi: 10.1002/int.10154

Author Information

  1. 1

    Department of Mathematical Sciences, New Mexico State University, Las Cruces, NM 88003-8001

  2. 2

    Department of Mathematical Sciences, National Chengchi University, Taipei, Taiwan

*Department of Mathematical Sciences, New Mexico State University, Las Cruces, NM 88003-8001

  1. †

    This article is a US Government work and, as such, is in the public domain in the United States of America.

Publication History

  1. Issue published online: 12 JAN 2004
  2. Article first published online: 12 JAN 2004

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Abstract

This lecture is mainly a survey of useful probabilistic methods in the theoretical analysis of fuzzy theory for modeling and design of intelligent systems. The probabilistic methods also are useful for fusing domain knowledge with numerical data in the field of intelligent data analysis. Published 2004 Wiley Periodicals, Inc.

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