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

Zhang, Qian, Mahfouf, Mahdi (2007) Fuzzy predictive modelling using hierarchical clustering and multi-objective optimisation for mechan. In: Automation in Mining, Mineral and Metal Processing. 12 (1). pp. 427-432. , Canada (doi: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) (KAR id:50554)

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.
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)
DOI/Identification number: 10.3182/20070821-3-CA-2919.00059
Subjects: Q Science > Q Science (General) > Q335 Artificial intelligence
T Technology > TA Engineering (General). Civil engineering (General) > TA168 Systems engineering
T Technology > TA Engineering (General). Civil engineering (General) > TA401 Materials engineering and construction
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Qian Zhang
Date Deposited: 18 Sep 2015 16:35 UTC
Last Modified: 16 Nov 2021 10:21 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/50554 (The current URI for this page, for reference purposes)

University of Kent Author Information

Zhang, Qian.

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