An evaluation of the FRWMA chart for dependent interval-valued data

How to construct a control chart with dependent interval-valued data is an important topic in the industrialization, economy, environment and management fields for the statistical process control. The dependent and continuous data is usually detected and recorded, sometimes, and this data can be app...

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Veröffentlicht in:Cluster computing 2019-07, Vol.22 (Suppl 4), p.10325-10332
1. Verfasser: Yang, Chih-Ching
Format: Artikel
Sprache:eng
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Zusammenfassung:How to construct a control chart with dependent interval-valued data is an important topic in the industrialization, economy, environment and management fields for the statistical process control. The dependent and continuous data is usually detected and recorded, sometimes, and this data can be applied to analysis. When this data is used to construct a control chart with mean which the degree of variation of this set of data can be ignored. Hence, this paper proposes the fuzzy relative weight moving average ( FRWMA ) chart for dependent interval-valued data set to monitor the crisp values of process. Empirical researches are illustrated the application for designing FRWMA chart. As well as more related practical phenomena can be explained by this appropriate definition of FRWMA chart.
ISSN:1386-7857
1573-7543
DOI:10.1007/s10586-017-1312-7