Fuzzy data analysis by possibilistic linear models
Fuzzy Sets and Systems - Fuzzy Numbers
Evaluation of fuzzy linear regression models
Fuzzy Sets and Systems
Fuzzy linear regression with fuzzy intervals
Fuzzy Sets and Systems
Constructing fuzzy measures in expert systems
Fuzzy Sets and Systems - Special issue on fuzzy measures and integrals
Identification of membership functions based on fuzzy observation data
Fuzzy Sets and Systems
Fuzzy logic: intelligence, control, and information
Fuzzy logic: intelligence, control, and information
Fuzzy regression wiht radial basis function network
Fuzzy Sets and Systems
Neural Networks for Statistical Modeling
Neural Networks for Statistical Modeling
Fuzzy least-squares linear regression analysis for fuzzy input-output data
Fuzzy Sets and Systems - Information processing
Linear regression analysis for fuzzy/crisp input and fuzzy/crisp output data
Computational Statistics & Data Analysis
On weighted possibilistic mean and variance of fuzzy numbers
Fuzzy Sets and Systems - Theme: Basic concepts
Mixed H 2/H∞ autopilot design of bank-to-turn missiles using fuzzy basis function networks
Fuzzy Sets and Systems
L-fuzzy numbers and their properties
Information Sciences: an International Journal
A hybrid fuzzy adaptive sampling - Run rules for Shewhart control charts
Information Sciences: an International Journal
Construction of p-charts using degree of nonconformity
Information Sciences: an International Journal
Information Sciences: an International Journal
A Study on Improved Fuzzy Neural Network Controller for Air-Condition with Frequency Change
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
Fuzzy theory application in quality management
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Possibilistic mean value and variance of fuzzy numbers: some examples of application
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Information Sciences: an International Journal
An application of fuzzy random variables to control charts
Fuzzy Sets and Systems
Fuzzy and R control charts: Fuzzy dominance approach
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
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This paper presents the construction of fuzzy control charts for a process with fuzzy outcomes derived from the subjective quality ratings provided by a group of experts. The proposed fuzzy process control (FPC) methodology comprises an off-line stage and an on-line stage. In the off-line stage, experts assign quality ratings to products based on a numerical scale. The individual numerical ratings are then aggregated to form collective opinions expressed in the form of fuzzy numbers. The collective knowledge applied by the experts when conducting the quality rating process is acquired through a process of fuzzy regression analysis performed by a neural network. In the on-line stage, the product dimensions are measured, and the fuzzy regression model is employed to automate the experts' judgments by mapping the measured dimensions to appropriate fuzzy quality ratings. The fuzzy quality ratings are then plotted on fuzzy control charts, whose construction and out-of-control conditions are developed using possibility theory. The developed control charts not only monitor the central tendency of the process, but also indicate its degree of fuzziness.