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Authors: Hossein Pazhoumand-Dar ; Chiou-Peng Lam and Martin Masek

Affiliation: Edith Cowan University, Australia

ISBN: 978-989-758-172-4

Keyword(s): Fuzzy Membership Functions, Variable Bandwidth Mean-shift, Fuzzy Logic, Activities of Daily Living, Abnormality Detection, Robust Statistics.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Computational Intelligence ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Fuzzy Systems ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Sensor Networks ; Signal Processing ; Soft Computing

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. (More)

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Paper citation in several formats:
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

@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},
}

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

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