Improving Transparency in Approximate Fuzzy Modeling Using Multi-objective Immune-Inspired Optimisation
- DOI
- 10.1080/18756891.2012.685311How to use a DOI?
- Keywords
- Interpretability, Immune-inspired multi-objective optimisation, Variable length coding scheme
- Abstract
In this paper, an immune inspired multi-objective fuzzy modeling (IMOFM) mechanism is proposed specifically for high-dimensional regression problems. For such problems, prediction accuracy is often the paramount requirement. With such a requirement in mind, however, one should also put considerable efforts in eliciting models which are as transparent as possible, a ‘tricky’ exercise in itself. The proposed mechanism adopts a multi-stage modeling procedure and a variable length coding scheme to account for the enlarged search space due to simultaneous optimisation of the rule-base structure and its associated parameters. We claim here that IMOFM can account for both Singleton and Mamdani Fuzzy Rule-Based Systems (FRBS) due to the carefully chosen output membership functions, the inference scheme and the defuzzification method. The proposed modeling approach has been compared to other representatives using a benchmark problem, and was further applied to a high-dimensional problem, taken from the steel industry, which concerns the prediction of mechanical properties of hot rolled steels. Results confirm that IMOFM is capable of eliciting not only accurate but also transparent FRBSs from quantitative data.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Jun Chen AU - Mahdi Mahfouf PY - 2012 DA - 2012/04/01 TI - Improving Transparency in Approximate Fuzzy Modeling Using Multi-objective Immune-Inspired Optimisation JO - International Journal of Computational Intelligence Systems SP - 322 EP - 342 VL - 5 IS - 2 SN - 1875-6883 UR - https://doi.org/10.1080/18756891.2012.685311 DO - 10.1080/18756891.2012.685311 ID - Chen2012 ER -