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Authors: Lingling Zhao 1 ; Yingjun Zhang 2 ; Peijun Ma 1 ; Xiaohong Su 1 and Chunmei Shi 1

Affiliations: 1 Harbin Institute of Technology, China ; 2 Beijing Jiaotong University, China

Keyword(s): Pattern Recognition, Intuitionistic Fuzzy Sets (IFS), Distance Measure, Entropy.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Biomedical Signal Processing ; Fuzzy Systems and Signals

Abstract: Bio-signal or bio-medical pattern recognition includes uncertainty. Intuitionistic fuzzy sets (IFSs) are effective representation of the uncertainty factor. We present a pattern recognition method based on the weighted distance of intuitionistic fuzzy sets (IFSs) in dealing with the fuzzy recognition problem. The proposed method has a particular focus on handling the problem of choosing feature weights and feature selection in the framework of IFSs. Depending on the idea of information-theoretic entropy and relative entropy, a method is presented in dealing with the said two key problems, i.e., choosing feature weights and feature selection. The proposed pattern recognition method in the framework of IFSs can not only represent the dissimilarity between pair of features based on choosing feature weights but also reduce the computational complexity depending on feature selection. Finally, a numerical example is utilized to validate the proposed pattern recognition method.

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Paper citation in several formats:
Zhao, L.; Zhang, Y.; Ma, P.; Su, X. and Shi, C. (2015). Intuitionistic Fuzzy Sets with Shannon Relative Entropy. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2015) - BIOSIGNALS; ISBN 978-989-758-069-7; ISSN 2184-4305, SciTePress, pages 150-157. DOI: 10.5220/0005186001500157

@conference{biosignals15,
author={Lingling Zhao. and Yingjun Zhang. and Peijun Ma. and Xiaohong Su. and Chunmei Shi.},
title={Intuitionistic Fuzzy Sets with Shannon Relative Entropy},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2015) - BIOSIGNALS},
year={2015},
pages={150-157},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005186001500157},
isbn={978-989-758-069-7},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2015) - BIOSIGNALS
TI - Intuitionistic Fuzzy Sets with Shannon Relative Entropy
SN - 978-989-758-069-7
IS - 2184-4305
AU - Zhao, L.
AU - Zhang, Y.
AU - Ma, P.
AU - Su, X.
AU - Shi, C.
PY - 2015
SP - 150
EP - 157
DO - 10.5220/0005186001500157
PB - SciTePress

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