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Computational Intelligence and Neuroscience
Volume 2017, Article ID 2157852, 9 pages
Research Article

Application of the Intuitionistic Fuzzy InterCriteria Analysis Method with Triples to a Neural Network Preprocessing Procedure

1Laboratory of Intelligent Systems, University “Prof. Dr. Assen Zlatarov”, 1 “Prof. Yakimov” Blvd., 8010 Burgas, Bulgaria
2Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, 105 “Acad. G. Bonchev” Str., 1113 Sofia, Bulgaria
3Department of Intelligent Systems, Institute of Information and Communication Technologies, 2 “Acad. G. Bonchev” Str., 1113 Sofia, Bulgaria

Correspondence should be addressed to Sotir Sotirov; gb.utb@voritoss

Received 9 February 2017; Accepted 14 June 2017; Published 10 August 2017

Academic Editor: George A. Papakostas

Copyright © 2017 Sotir Sotirov et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The approach of InterCriteria Analysis (ICA) was applied for the aim of reducing the set of variables on the input of a neural network, taking into account the fact that their large number increases the number of neurons in the network, thus making them unusable for hardware implementation. Here, for the first time, with the help of the ICA method, correlations between triples of the input parameters for training of the neural networks were obtained. In this case, we use the approach of ICA for data preprocessing, which may yield reduction of the total time for training the neural networks, hence, the time for the network’s processing of data and images.