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Văn bản từ siroos - English

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    • 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.

Xin hãy chỉnh sửa từng câu giúp tôi! - English

  • Tiêu đề
  • câu 1
  • câu 2
    • Being in control of the process means standing of both central and dispersion parameters of surveyed attribute on their target values.
      Bầu chọn ngay!
    • ADD a NEW CORRECTION! - câu 2ADD a NEW CORRECTION! - câu 2
  • câu 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.
      Bầu chọn ngay!
    • 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 Comments
    • ADD a NEW CORRECTION! - câu 3ADD a NEW CORRECTION! - câu 3
  • câu 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.
      Bầu chọn ngay!
    • ADD a NEW CORRECTION! - câu 4ADD a NEW CORRECTION! - câu 4
  • câu 5
  • câu 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.
      Bầu chọn ngay!
    • ADD a NEW CORRECTION! - câu 6ADD a NEW CORRECTION! - câu 6
  • câu 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.
      Bầu chọn ngay!
    • ADD a NEW CORRECTION! - câu 7ADD a NEW CORRECTION! - câu 7
  • câu 8
    • In fact, by using defined Dp,q- distance between fuzzy numbers, their variance and covariance are obtained, then the autocorrelation coefficient is calculated.
      Bầu chọn ngay!
    • ADD a NEW CORRECTION! - câu 8ADD a NEW CORRECTION! - câu 8
  • câu 9
  • câu 10