Construction of Fuzzy Control Charts Based on Weighted Possibilistic Mean
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Publication:2921867
DOI10.1080/03610926.2012.695852zbMath1297.62012OpenAlexW2012450568MaRDI QIDQ2921867
Masami Yasuda, Pinghui Li, Dabuxilatu Wang
Publication date: 14 October 2014
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2012.695852
Fuzzy control/observation systems (93C42) Control/observation systems involving computers (process control, etc.) (93C83) Fuzzy analysis in statistics (62A86)
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Design of variable control charts based on type-2 fuzzy sets with a real case study ⋮ The (α, β)-cut control charts for process average based on the generalised intuitionistic fuzzy number ⋮ Detecting change-points for shifts in mean and variance using fuzzy classification maximum likelihood change-point algorithms
Cites Work
- An application of fuzzy random variables to control charts
- Overview on the development of fuzzy random variables
- An alternative approach to fuzzy control charts: Direct fuzzy approach
- Development of fuzzy process control charts and fuzzy unnatural pattern analyses
- Fuzzy sets as a basis for a theory of possibility
- On weighted possibilistic mean and variance of fuzzy numbers
- The possibilistic moments of fuzzy numbers and their applications
- Weighted possibilistic moments of fuzzy numbers with applications to GARCH modeling and option pricing
- Fuzzy random variables
- On possibilistic mean value and variance of fuzzy numbers
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