• DocumentCode
    1344616
  • Title

    How to Process the Random Part of RFVs: Comparison of Available Methods and New Proposal

  • Author

    Mencattini, Arianna ; Salicone, Simona

  • Author_Institution
    Dipt. di Ing. Elettron., Univ. di Roma Tor Vergata, Rome, Italy
  • Volume
    59
  • Issue
    1
  • fYear
    2010
  • Firstpage
    15
  • Lastpage
    26
  • Abstract
    In the recent years, fuzzy variables (FVs) and random-fuzzy variables (RFVs) have been proposed to represent the measurement results with their associated uncertainty. However, up to now, the different authors do not yet agree in the mathematical way FVs should be composed together, so different approaches have been proposed. This paper compares these approaches to find their advantages and disadvantages and shows a new proposal that is supposed to hopefully overcome the disadvantages of the original approaches.
  • Keywords
    fuzzy set theory; measurement uncertainty; RFV; fuzzy variables; measurement uncertainty estimation; random-fuzzy variables; Random contributions; random-fuzzy variables (RFVs); t-norms; uncertainty estimation;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2009.2025685
  • Filename
    5342523