Results 41 to 50 of about 2,174 (148)

CONSTRUCTION OF FUZZY C CONTROL CHARTS BASED ON FUZZY RULE METHOD

ANADOLU UNIVERSITY JOURNAL OF SCIENCE AND TECHNOLOGY A - Applied Sciences and Engineering, 2017
A control chart is a tool that is used for representing and monitoring the process. Also control chart detected process shifts and abnormal conditions in a process. In a process monitored the c control charts, due to the uncertainty of the attribute data, c control chart may not applicable for the process since it’s required certain information.
openaire   +4 more sources

Real-time monitoring of insurance claims predictions using hybrid neuro-fuzzy control charts with applications to health insurance

Machine Learning with Applications
In non-life insurance, reserve predictions are often determined at a fixed valuation date using the chain-ladder (CL) method and subsequently updated by applying the initially estimated development factors to newly observed claim amounts.
Arne Johannssen, Ali Yeganeh, Fatemeh Sogandi, Nataliya Chukhrova   +3 more
doaj   +1 more source

Six Sigma Using Complex Fuzzy Analytic Hierarchy Process and Analysis of Effluents in Plastic Manufacturing Industry

IEEE Access
This paper presents a successful implementation of the Six Sigma methodology for analyzing the effluents of plastic manufacturing industries. The proposed Complex Fuzzy Analytic Hierarchy Process with Octagonal Fuzzy Number (CFAHP-OFN) is superior ...
O. S. Deepa
doaj   +1 more source

Comparison Between Process Control Charts and Fuzzy Multinomial Control Charts with Practical Appliance

Journal of Economics and Administrative Sciences, 2013
The control charts are one of the scientific technical statistics tools that will be used to control of production and always contained from three lines central line and upper, lower lines to control quality of production and represents set of numbers so finally the operating productivity under control or nor than depending on the actual observations ...
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Fuzzy process control and development of some models for fuzzy control charts

, 2021
136
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Development of Control Charts Using Fuzzy Sets

Journal of the Mechanical Behavior of Materials, 2001
Banerjee, R.N., Chattopadhyay, T.K., Dey, S.K.   +2 more
doaj   +1 more source

A novel multi objective grey wolf optimization fuzzy miner for process discovery: Incorporating robustness and explainability in model evaluation. [PDF]

PLoS One
Salehi M, Khayami R, Mirmozaffari M.
europepmc   +1 more source

Addressing lightning and market uncertainties in self-scheduling: A fuzzy-markov approach for smart grids. [PDF]

Sci Rep
Benistan IS, Shahbazzadeh MJ, Eslami M.
europepmc   +1 more source

DML-LLM Hybrid Architecture for Fault Detection and Diagnosis in Sensor-Rich Industrial Systems. [PDF]

Sensors (Basel)
Hu YS, Marandi S, Modarres M.
europepmc   +1 more source

A county-level indicator framework for assessing schistosomiasis transmission risk in post-transmission-interruption China. [PDF]

Infect Dis Poverty
Xu A, Zhu H, Xu J, Shan X, Dong Y, Wang H, Lv C, Huo S, Li S.   +8 more
europepmc   +1 more source