An Adaptive Quality Assessment System-Aspect of Human Factor and Measurement Uncertainty

• In this paper, we discuss a model of quality that makes use of the fuzzily defined variable approach to better understand the concept and, thus, enables the further development of this variable. We propose a general method that may estimate a quality index (QI) that handles both qualitative and quantitative issues. The system further uses a neural network since the system learns how to integrate human factors into a quantitative QI. In our case study, we have examined the measurement of image quality and proposed a theoretical model of pulp quality.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)

Nyckelord

Fuzzily defined quantity

image quality

neural network (NN)

pulp quality

quality assessment

quality index (QI)

TECHNOLOGY

Mätteknik

Publikations- och innehållstyp

ref (ämneskategori)

kon (ämneskategori)