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Communications in Statistics - Theory and Methods Volume 43, 2014 - Issue 15
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Original Articles

Construction of Fuzzy Control Charts Based on Weighted Possibilistic Mean

Dabuxilatu WangSchool of Economics and Statistics, Guangzhou University, Guangzhou, China;Research Center of Statistical Science Lingnan, Guangzhou University, Guangzhou, ChinaCorrespondence[email protected]
,
Pinghui LiSchool of Economics and Statistics, Guangzhou University, Guangzhou, China
&
Masami YasudaFaculty of Science, Chiba University, Chiba, Japan
Pages 3186-3207 | Received 15 Jan 2012, Accepted 19 May 2012, Published online: 03 Jul 2014

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Ali Shabani, Saralees Nadarajah & Mojtaba Alizadeh. (2018) The (α, β)-cut control charts for process average based on the generalised intuitionistic fuzzy number. International Journal of Systems Science 49:2, pages 392-406.
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Articles from other publishers (14)

İhsan Kaya, Esra İlbahar & Ali Karaşan. (2023) A design methodology based on two dimensional fuzzy linguistic variables for attribute control charts with real case applications. Engineering Applications of Artificial Intelligence 126, pages 106792.
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Gültekin Atalik & Sevil Senturk. (2022) Intuitionistic fuzzy c control charts based on intuitionistic fuzzy ranking method for TIFNs. Soft Computing 26:21, pages 11403-11407.
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Srimantoorao S. Appadoo, Yuvraj Gajpal & Amit Kumar. (2021) An Application of Possibilistic Moments of Nonlinear Type of Fuzzy Numbers in Supply Chain Management. Mathematical Problems in Engineering 2021, pages 1-18.
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Nilufer PEKİN ALAKOC. (2021) Fuzzy Xbar and S Control Charts Based on Confidence IntervalsGüven Aralıklarına Dayalı Bulanık Xbar ve S Kontrol Grafikleri. Journal of Advanced Research in Natural and Applied Sciences 7:1, pages 114-131.
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İhsan Kaya & Ataullah Turgut. (2020) Design of variable control charts based on type-2 fuzzy sets with a real case study. Soft Computing 25:1, pages 613-633.
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Kang-Ping Lu & Shao-Tung Chang. (2017) Fuzzy maximum likelihood change-point algorithms for identifying the time of shifts in process data. Neural Computing and Applications 31:7, pages 2431-2446.
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Gholamreza Hesamian, Mohammad Ghasem Akbari & Razieh Yaghoobpoor. (2019) Quality Control Process Based on Fuzzy Random Variables. IEEE Transactions on Fuzzy Systems 27:4, pages 671-685.
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N. Pekin Alakoc & A. Apaydin. (2018) A Fuzzy Control Chart Approach for Attributes and Variables. Engineering, Technology & Applied Science Research 8:5, pages 3360-3365.
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Tsiliki Pandora & Papadopoulos Basil. Pattern recognition with non asymptotic fuzzy estimators. Pattern recognition with non asymptotic fuzzy estimators.
Robert Fullér & István Á. Harmati. 2018. Soft Computing Based Optimization and Decision Models. Soft Computing Based Optimization and Decision Models 261 273 .
Zhi Lin Chong, Amitava Mukherjee & Michael B.C. Khoo. (2017) Distribution-free Shewhart-Lepage type premier control schemes for simultaneous monitoring of location and scale. Computers & Industrial Engineering 104, pages 201-215.
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Kang-Ping Lu & Shao-Tung Chang. (2016) Detecting change-points for shifts in mean and variance using fuzzy classification maximum likelihood change-point algorithms. Journal of Computational and Applied Mathematics 308, pages 447-463.
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Kang-Ping Lu, Shao-Tung Chang & Miin-Shen Yang. (2016) Change-point detection for shifts in control charts using fuzzy shift change-point algorithms. Computers & Industrial Engineering 93, pages 12-27.
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Stephan Birle, Mohamed Ahmed Hussein & Thomas Becker. (2016) Management of Uncertainty by Statistical Process Control and a Genetic Tuned Fuzzy System. Discrete Dynamics in Nature and Society 2016, pages 1-11.
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