Korrigjime

NDIHMO NË KORIGJIM TANI!pakorrigjuara

Tekst nga 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.

JU LUTEM NDIHMONI PËR TË KORIGJUAR ÇDO FJALI! - English

  • Title
  • Fjalia 1
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  • Fjalia 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.
      Votoni tani!
    • 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.
      genzaimugenzaimu profile picture Komente
      Votoni tani!
    • SHTO një KORRIGJIM TË RI! - Fjalia 3SHTO një KORRIGJIM TË RI! - Fjalia 3
  • Fjalia 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.
      Votoni tani!
    • 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 Komente
      Votoni tani!
    • SHTO një KORRIGJIM TË RI! - Fjalia 4SHTO një KORRIGJIM TË RI! - Fjalia 4
  • Fjalia 5
  • Fjalia 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.
      Votoni tani!
    • 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 Komente
      Votoni tani!
    • SHTO një KORRIGJIM TË RI! - Fjalia 6SHTO një KORRIGJIM TË RI! - Fjalia 6
  • Fjalia 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.
      Votoni tani!
    • SHTO një KORRIGJIM TË RI! - Fjalia 7SHTO një KORRIGJIM TË RI! - Fjalia 7
  • Fjalia 8
    • In fact, by using defined Dp,q- distance between fuzzy numbers, their variance and covariance are obtained, then the autocorrelation coefficient is calculated.
      Votoni tani!
    • SHTO një KORRIGJIM TË RI! - Fjalia 8SHTO një KORRIGJIM TË RI! - Fjalia 8
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  • Fjalia 10