Automatic Generation of Fuzzy Membership Functions using Adaptive Mean-shift and Robust Statistics

Hossein Pazhoumand-Dar, Chiou-Peng Lam, Martin Masek

2016

Abstract

In this paper, an unsupervised approach incorporating variable bandwidth mean-shift and robust statistics is presented for generating fuzzy membership functions from data. The approach takes an attribute and automatically learns the number of representative functions from the underlying data distribution. Given a specific membership function, the approach also works out the associated parameters. The investigation here examines the application of approach using the triangular membership function. Results from partitioning of attributes confirm that the generated membership functions can better separate the underlying distributions when compared to a number of other techniques. Classification performance of fuzzy rule sets produced using four different methods of parameterizing the associated attributes is examined. We observed that the classifier constructed using the proposed method of generating membership function outperformed the 3 other classifiers that had used other methods of parameterizing the attributes.

Paper Citation

in Harvard Style

Pazhoumand-Dar H., Lam C. and Masek M. (2016). Automatic Generation of Fuzzy Membership Functions using Adaptive Mean-shift and Robust Statistics . In Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-172-4, pages 160-171. DOI: 10.5220/0005751601600171

in Bibtex Style

@conference{icaart16,
author={Hossein Pazhoumand-Dar and Chiou-Peng Lam and Martin Masek},
title={Automatic Generation of Fuzzy Membership Functions using Adaptive Mean-shift and Robust Statistics},
booktitle={Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2016},
pages={160-171},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005751601600171},
isbn={978-989-758-172-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Automatic Generation of Fuzzy Membership Functions using Adaptive Mean-shift and Robust Statistics
SN - 978-989-758-172-4
AU - Pazhoumand-Dar H.
AU - Lam C.
AU - Masek M.
PY - 2016
SP - 160
EP - 171
DO - 10.5220/0005751601600171