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

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, fo...

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Main Authors:	Sotir Sotirov, Vassia Atanassova, Evdokia Sotirova, Lyubka Doukovska, Veselina Bureva, Deyan Mavrov, Jivko Tomov
Format:	Article
Language:	English
Published:	Hindawi Limited 2017-01-01
Series:	Computational Intelligence and Neuroscience
Online Access:	http://dx.doi.org/10.1155/2017/2157852

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spelling	doaj-4a7848e8efdb4140b02623f70261e1402020-11-25T01:02:23ZengHindawi LimitedComputational Intelligence and Neuroscience1687-52651687-52732017-01-01201710.1155/2017/21578522157852Application of the Intuitionistic Fuzzy InterCriteria Analysis Method with Triples to a Neural Network Preprocessing ProcedureSotir Sotirov0Vassia Atanassova1Evdokia Sotirova2Lyubka Doukovska3Veselina Bureva4Deyan Mavrov5Jivko Tomov6Laboratory of Intelligent Systems, University “Prof. Dr. Assen Zlatarov”, 1 “Prof. Yakimov” Blvd., 8010 Burgas, BulgariaDepartment of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, 105 “Acad. G. Bonchev” Str., 1113 Sofia, BulgariaLaboratory of Intelligent Systems, University “Prof. Dr. Assen Zlatarov”, 1 “Prof. Yakimov” Blvd., 8010 Burgas, BulgariaDepartment of Intelligent Systems, Institute of Information and Communication Technologies, 2 “Acad. G. Bonchev” Str., 1113 Sofia, BulgariaLaboratory of Intelligent Systems, University “Prof. Dr. Assen Zlatarov”, 1 “Prof. Yakimov” Blvd., 8010 Burgas, BulgariaLaboratory of Intelligent Systems, University “Prof. Dr. Assen Zlatarov”, 1 “Prof. Yakimov” Blvd., 8010 Burgas, BulgariaLaboratory of Intelligent Systems, University “Prof. Dr. Assen Zlatarov”, 1 “Prof. Yakimov” Blvd., 8010 Burgas, BulgariaThe 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.http://dx.doi.org/10.1155/2017/2157852
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Sotir Sotirov Vassia Atanassova Evdokia Sotirova Lyubka Doukovska Veselina Bureva Deyan Mavrov Jivko Tomov
spellingShingle	Sotir Sotirov Vassia Atanassova Evdokia Sotirova Lyubka Doukovska Veselina Bureva Deyan Mavrov Jivko Tomov Application of the Intuitionistic Fuzzy InterCriteria Analysis Method with Triples to a Neural Network Preprocessing Procedure Computational Intelligence and Neuroscience
author_facet	Sotir Sotirov Vassia Atanassova Evdokia Sotirova Lyubka Doukovska Veselina Bureva Deyan Mavrov Jivko Tomov
author_sort	Sotir Sotirov
title	Application of the Intuitionistic Fuzzy InterCriteria Analysis Method with Triples to a Neural Network Preprocessing Procedure
title_short	Application of the Intuitionistic Fuzzy InterCriteria Analysis Method with Triples to a Neural Network Preprocessing Procedure
title_full	Application of the Intuitionistic Fuzzy InterCriteria Analysis Method with Triples to a Neural Network Preprocessing Procedure
title_fullStr	Application of the Intuitionistic Fuzzy InterCriteria Analysis Method with Triples to a Neural Network Preprocessing Procedure
title_full_unstemmed	Application of the Intuitionistic Fuzzy InterCriteria Analysis Method with Triples to a Neural Network Preprocessing Procedure
title_sort	application of the intuitionistic fuzzy intercriteria analysis method with triples to a neural network preprocessing procedure
publisher	Hindawi Limited
series	Computational Intelligence and Neuroscience
issn	1687-5265 1687-5273
publishDate	2017-01-01
description	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.
url	http://dx.doi.org/10.1155/2017/2157852
work_keys_str_mv	AT sotirsotirov applicationoftheintuitionisticfuzzyintercriteriaanalysismethodwithtriplestoaneuralnetworkpreprocessingprocedure AT vassiaatanassova applicationoftheintuitionisticfuzzyintercriteriaanalysismethodwithtriplestoaneuralnetworkpreprocessingprocedure AT evdokiasotirova applicationoftheintuitionisticfuzzyintercriteriaanalysismethodwithtriplestoaneuralnetworkpreprocessingprocedure AT lyubkadoukovska applicationoftheintuitionisticfuzzyintercriteriaanalysismethodwithtriplestoaneuralnetworkpreprocessingprocedure AT veselinabureva applicationoftheintuitionisticfuzzyintercriteriaanalysismethodwithtriplestoaneuralnetworkpreprocessingprocedure AT deyanmavrov applicationoftheintuitionisticfuzzyintercriteriaanalysismethodwithtriplestoaneuralnetworkpreprocessingprocedure AT jivkotomov applicationoftheintuitionisticfuzzyintercriteriaanalysismethodwithtriplestoaneuralnetworkpreprocessingprocedure
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Application of the Intuitionistic Fuzzy InterCriteria Analysis Method with Triples to a Neural Network Preprocessing Procedure

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