Korekty

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.

POMÓŻ POPRAWIĆ KAŻDE ZDANIE Z OSOBNA - English

  • Tytuł
  • Zdanie 1
  • Zdanie 2
    • Being in control of the process means standing of both central and dispersion parameters of surveyed attribute on their target values.
      Głosuj teraz!
    • DODAJ NOWĄ KOREKTĘ! - Zdanie 2DODAJ NOWĄ KOREKTĘ! - Zdanie 2
  • Zdanie 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.
      Głosuj teraz!
    • 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.
    • DODAJ NOWĄ KOREKTĘ! - Zdanie 3DODAJ NOWĄ KOREKTĘ! - Zdanie 3
  • Zdanie 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.
      Głosuj teraz!
    • DODAJ NOWĄ KOREKTĘ! - Zdanie 4DODAJ NOWĄ KOREKTĘ! - Zdanie 4
  • Zdanie 5
  • Zdanie 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.
      Głosuj teraz!
    • DODAJ NOWĄ KOREKTĘ! - Zdanie 6DODAJ NOWĄ KOREKTĘ! - Zdanie 6
  • Zdanie 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.
      Głosuj teraz!
    • DODAJ NOWĄ KOREKTĘ! - Zdanie 7DODAJ NOWĄ KOREKTĘ! - Zdanie 7
  • Zdanie 8
    • In fact, by using defined Dp,q- distance between fuzzy numbers, their variance and covariance are obtained, then the autocorrelation coefficient is calculated.
      Głosuj teraz!
    • DODAJ NOWĄ KOREKTĘ! - Zdanie 8DODAJ NOWĄ KOREKTĘ! - Zdanie 8
  • Zdanie 9
  • Zdanie 10