Corrections

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Text from siroos - English

    • correction

  • 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.
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    • 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.
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    • An 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.
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    • 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.
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    • In an ordinary control chart, the data arehas crisp values, but sometimes, the data¶are is generated as vague and uncertain values because of some of environmental conditions and other factors.
      genzaimugenzaimu profile picture Kommentaarid
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    • 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.
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    • Sometimes, assumption of independence between observations cannot be accepted because probability of false warning will increase if the data areis autocorrelated and their correlation is ignored.
      genzaimugenzaimu profile picture Kommentaarid
      Vote now!
    • 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.
      Vote now!
    • 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.
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    • ADD a NEW CORRECTION! - Sentence 8ADD a NEW CORRECTION! - Sentence 8
  • Sentence 9
  • Sentence 10