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