Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

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

Authors
Sotir Sotirov, Vassia Atanassova, Evdokia Sotirova, Veselina Bureva, Deyan Mavrov
Corresponding Author
Sotir Sotirov
Available Online June 2015.
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.222How to use a DOI?
Keywords
Neural network, InterCriteria Analysis, Intuitionistic fuzziness.
Abstract
The artificial neural networks (ANN) are a tool that can be used for object recognition and identification. However, there are certain limits when we may use ANN, and the number of the neurons is one of the major parameters during the implementation of the ANN. On the other hand, the bigger number of neurons slows down the learning process. In our paper, we propose a method for removing the number of the neurons without reducing the error between the target value and the real value obtained on the output of the ANN’s exit. The method uses the recently proposed approach of InterCriteria Analysis, based on index matrices and intuitionistic fuzzy sets, which aims to detect possible correlations between pairs of criteria.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Sotir Sotirov
AU  - Vassia Atanassova
AU  - Evdokia Sotirova
AU  - Veselina Bureva
AU  - Deyan Mavrov
PY  - 2015/06
DA  - 2015/06
TI  - Application of the Intuitionistic Fuzzy InterCriteria Analysis Method to a Neural Network Preprocessing Procedure
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 1559
EP  - 1564
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.222
DO  - https://doi.org/10.2991/ifsa-eusflat-15.2015.222
ID  - Sotirov2015/06
ER  -