Fuzzy predictive modelling using hierarchical clustering and multi-objective optimisation for mechan

Zhang, Qian and Mahfouf, Mahdi (2007) Fuzzy predictive modelling using hierarchical clustering and multi-objective optimisation for mechan. In: Twelfth IFAC Symposium on Automation in Mining, Mineral and Metal Processing, 2007. , Canada pp. 427-432. (doi:https://doi.org/10.3182/20070821-3-CA-2919.00059) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://doi.org/10.3182/20070821-3-CA-2919.00059

Abstract

In this paper, a systematic data-driven fuzzy predictive modelling mechanism is proposed. In this mechanism, a hierarchical clustering algorithm, the agglomerative complete-link clustering algorithm, is first employed to extract an initial fuzzy model. Then, the initial model is improved and optimised through a two-step operation using evolutionary algorithms (EAs), which takes into account both the accuracy and the interpretability performance of the fuzzy system. The proposed modelling approach is tested on a high dimensional problem using real data from the steel industry which concerns the prediction of the mechanical properties of alloy steels, in particular the Tensile Strength (TS). Experimental results show that the proposed approach is effective in eliciting accurate and interpretable models while ensuring their future easy maintenance.

Item Type: Conference or workshop item (Paper)
Subjects: Q Science > Q Science (General) > Q335 Artificial intelligence
T Technology > TA Engineering (General). Civil engineering (General) > TA168 Systems engineering, cybernetics and intelligent systems
T Technology > TA Engineering (General). Civil engineering (General) > TA 403 Materials Science
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Qian Zhang
Date Deposited: 18 Sep 2015 16:35 UTC
Last Modified: 21 Sep 2015 14:16 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/50554 (The current URI for this page, for reference purposes)
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