• DocumentCode
    1639576
  • Title

    Fuzzy dimensional analysis

  • Author

    Lewis, Ernest L.

  • Author_Institution
    Central Florida Univ., Orlando, FL, USA
  • fYear
    1995
  • Firstpage
    674
  • Lastpage
    678
  • Abstract
    Dimensional analysis enables engineers to reduce the computational complexity of engineering analysis and effectively utilize dynamic scale modeling and simulation. Prior to the age of powerful digital computers and numerical methods for complex design problems, dimensional analysis was critical to the development of large scale complex dynamic physical systems. While fuzzy mathematics provides the tools for dealing with fuzzy systems, complexity of problem formulation and computation costs still seriously limit analysis of large scale “people-in-the-loop” fuzzy systems. Use of dimensional analysis should improve the quality, lower costs and reduce the time to analyze complex fuzzy systems
  • Keywords
    computational complexity; fuzzy set theory; fuzzy systems; complex design problems; computation costs; computational complexity; dynamic scale modeling; engineering analysis; fuzzy dimensional analysis; fuzzy mathematics; fuzzy systems; large scale complex dynamic physical systems; numerical methods; simulation; Analytical models; Computational complexity; Computational modeling; Design methodology; Fuzzy systems; Large-scale systems; Physics computing; Power engineering and energy; Power engineering computing; Power system modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Uncertainty Modeling and Analysis, 1995, and Annual Conference of the North American Fuzzy Information Processing Society. Proceedings of ISUMA - NAFIPS '95., Third International Symposium on
  • Conference_Location
    College Park, MD
  • Print_ISBN
    0-8186-7126-2
  • Type

    conf

  • DOI
    10.1109/ISUMA.1995.527775
  • Filename
    527775