DocumentCode :
1883845
Title :
An Adaptive Model of the Fuzzy Variable - Quality Index
Author :
Wirandi, Jenny ; Chen, Jiandan ; Kulesza, Wlodek
Author_Institution :
Univ. of Kalmar, Kalmar
fYear :
2007
fDate :
16-18 July 2007
Firstpage :
41
Lastpage :
46
Abstract :
In this article we discuss a model of quality as the fuzzy variable in order to better understand the concept and thus enable the further development of the variable. We propose a general method to estimate the quality index which can handle both qualitative and quantitative factors. The method uses a fuzzy neural network since the system learns how to integrate the human judgment of quality into a quantitative index. In our case study we have examined the measurement of image quality and pulp quality.
Keywords :
calibration; fuzzy neural nets; fuzzy systems; image processing; measurement uncertainty; pulp manufacture; fuzzy neural network; fuzzy variable adaptive model; human judgment integration; image quality measurement; pulp quality measurement; quality model; Calibration; Environmental factors; Food industry; Fuzzy neural networks; Humans; Image processing; Image quality; Measurement uncertainty; Pulp and paper industry; Quality assessment; Fuzzy Neural Network; Fuzzy Variable; Image Quality; Pulp Quality; Quality Assessment; Quality Index;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Methods for Uncertainty Estimation in Measurement, 2007 IEEE International Workshop on
Conference_Location :
Sardagna
Print_ISBN :
978-1-4244-0933-4
Electronic_ISBN :
978-1-4244-0933-4
Type :
conf
DOI :
10.1109/AMUEM.2007.4362568
Filename :
4362568
Link To Document :
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