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Text from siroos - English

  • spc

    • A control chart is a tool for studying of a production process in order to be controlled.
  • Being in control of the process means standing of both central and dispersion parameters of surveyed attribute on their target values.
    • X-MR control chart is a binary control chart on which average values of process and moving range between observations are used to discover the variability in the process.
  • In ordinary control chart, the data are crisp values but sometimes, the data are generated as vague and uncertain values because of some of environmental conditions and other factors.
  • In such cases, fuzzy sets theory is a useful tool for analyzing data.
  • Sometime, assumption of independence between observations cannot be accepted because probability of false warning will increase if the data are autocorrelated and their correlation is ignored.
  • In this article, attempts are made to discuss the construction of fuzzy control charts for autocorrelated fuzzy observations and employment of ranking method for finding out whether the observations are in or out of control.
  • In fact, by using defined Dp,q- distance between fuzzy numbers, their variance and covariance are obtained, then the autocorrelation coefficient is calculated.
  • The autocorrelation coefficient is used in order to modify the limit of control chart.
  • By using Dp,q-distance we present a new approach for designing of the control charts.

PLEASE, HELP TO CORRECT EACH SENTENCE! - English

  • Title
  • Sentence 1
  • Sentence 2
    • Being in control of the process means standing of both central and dispersion parameters of surveyed attribute on their target values.
      Balsuok dabar!
    • ADD a NEW CORRECTION! - Sentence 2ADD a NEW CORRECTION! - Sentence 2
  • Sentence 3
    • X-MR control chart is a binary control chart on which average values of process and moving range between observations are used to discover the variability in the process.
      Balsuok dabar!
    • A X-MR control chart is a binary control chart on which average values of processes and¶moving ranges between observations are used to discover the variability in thesaid¶processes.
      Terry_PTerry_P profile picture Komentarai
      Balsuok dabar!
    • ADD a NEW CORRECTION! - Sentence 3ADD a NEW CORRECTION! - Sentence 3
  • Sentence 4
    • In ordinary control chart, the data are crisp values but sometimes, the data are generated as vague and uncertain values because of some of environmental conditions and other factors.
      Balsuok dabar!
    • ADD a NEW CORRECTION! - Sentence 4ADD a NEW CORRECTION! - Sentence 4
  • Sentence 5
  • Sentence 6
    • Sometime, assumption of independence between observations cannot be accepted because probability of false warning will increase if the data are autocorrelated and their correlation is ignored.
      Balsuok dabar!
    • ADD a NEW CORRECTION! - Sentence 6ADD a NEW CORRECTION! - Sentence 6
  • Sentence 7
    • In this article, attempts are made to discuss the construction of fuzzy control charts for autocorrelated fuzzy observations and employment of ranking method for finding out whether the observations are in or out of control.
      Balsuok dabar!
    • ADD a NEW CORRECTION! - Sentence 7ADD a NEW CORRECTION! - Sentence 7
  • Sentence 8
    • In fact, by using defined Dp,q- distance between fuzzy numbers, their variance and covariance are obtained, then the autocorrelation coefficient is calculated.
      Balsuok dabar!
    • ADD a NEW CORRECTION! - Sentence 8ADD a NEW CORRECTION! - Sentence 8
  • Sentence 9
  • Sentence 10