Where academic tradition
meets the exciting future

You are here: TUCS > PUBLICATIONS > Publication Search > A Soft Computing Approach to M...

A Soft Computing Approach to Mastering Paper Machines

Christer Carlsson, Matteo Brunelli, József Mezei, A Soft Computing Approach to Mastering Paper Machines. In: Ralph H. Sprague (Ed.), Proceedings of the Forty-Sixth Annual Hawaii International Conference on Systems Sciences, 1394–1401, IEEE, 2013.

Abstract:

Paper machines are extremely complex systems which require a deep knowledge of the relations between levels of usage of factors and characteristics of the process/final product. In this paper we propose to capture the tacit knowledge of experts in the form of a fuzzy ontology. Based on the fuzzy ontology, we introduce a knowledge based system which can ultimately recommend what factors should be increased, or decreased, in order to obtain a different and better output. The system is based on an integer linear goal-programming optimization problem whose parameters come from the fuzzy ontology. We also propose extensions of our model to account for additional constraints and knowledge expressed in the form of fuzzy numbers.

BibTeX entry:

@INPROCEEDINGS{inpCaBrMe13a,
  title = {A Soft Computing Approach to Mastering Paper Machines},
  booktitle = {Proceedings of the Forty-Sixth Annual Hawaii International Conference on Systems Sciences},
  author = {Carlsson, Christer and Brunelli, Matteo and Mezei, József},
  editor = {Sprague, Ralph H.},
  publisher = {IEEE},
  pages = {1394–1401},
  year = {2013},
}

Belongs to TUCS Research Unit(s): Institute for Advanced Management Systems Research (IAMSR)

Publication Forum rating of this publication: level 1

Edit publication