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Coevolutionary fuzzy attribute order reduction with complete attribute-value space tree

Ding, Weiping; Triguero, Isaac; Lin, Chin-Teng

Coevolutionary fuzzy attribute order reduction with complete attribute-value space tree Thumbnail


Authors

Weiping Ding

Chin-Teng Lin



Abstract

Since big data sets are structurally complex, high-dimensional, and their attributes exhibit some redundant and irrelevant information, the selection, evaluation, and combination of those large-scale attributes pose huge challenges to traditional methods. Fuzzy rough sets have emerged as a powerful vehicle to deal with uncertain and fuzzy attributes in big data problems that involve a very large number of variables to be analyzed in a very short time. In order to further overcome the inefficiency of traditional algorithms in the uncertain and fuzzy big data, in this paper we present a new coevolutionary fuzzy attribute order reduction algorithm (CFAOR) based on a complete attribute-value space tree. A complete attribute-value space tree model of decision table is designed in the attribute space to adaptively prune and optimize the attribute order tree. The fuzzy similarity of multimodality attributes can be extracted to satisfy the needs of users with the better convergence speed and classification performance. Then, the decision rule sets generate a series of rule chains to form an efficient cascade attribute order reduction and classification with a rough entropy threshold. Finally, the performance of CFAOR is assessed with a set of benchmark problems that contain complex high dimensional datasets with noise. The experimental results demonstrate that CFAOR can achieve the higher average computational efficiency and classification accuracy, compared with the state-of-the-art methods. Furthermore, CFAOR is applied to extract different tissues surfaces of dynamical changing infant cerebral cortex and it achieves a satisfying consistency with those of medical experts, which shows its potential significance for the disorder prediction of infant cerebrum.

Citation

Ding, W., Triguero, I., & Lin, C.-T. (2018). Coevolutionary fuzzy attribute order reduction with complete attribute-value space tree. IEEE Transactions on Emerging Topics in Computational Intelligence, https://doi.org/10.1109/tetci.2018.2869919

Journal Article Type Article
Acceptance Date Sep 1, 2018
Online Publication Date Oct 2, 2018
Publication Date Oct 2, 2018
Deposit Date Oct 18, 2018
Publicly Available Date Oct 18, 2018
Journal IEEE Transactions on Emerging Topics in Computational Intelligence
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1109/tetci.2018.2869919
Public URL https://nottingham-repository.worktribe.com/output/1174782
Publisher URL https://ieeexplore.ieee.org/document/8479335
Contract Date Oct 18, 2018

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