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A Novel Hybrid Fuzzy Pattern Classifier Using Order-Weighted Averaging

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Proceedings of the First International Conference on Computational Intelligence and Informatics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 507))

Abstract

The order-weighted averaging operator is commonly used in decision-making processes, where its powerful yet simple nature allows to aggregate output from several data sources into a meaningful result. Key to the order-weighted averaging operator is assignment of weights. Several approaches have been suggested and their properties examined for decision-making, except in the area of heuristic search assignment. In this paper, weight assignment is experimentally examined for supervised classification tasks using a fuzzy pattern classifier with order-weighted averaging, using maximum entropy and two separate heuristic search approaches, namely genetic algorithm and pattern search. The experiment is conducted using a sample of 20 UCI data sets. Results are discussed and recommendations made for when and how to apply heuristic search for this type of classifier.

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Notes

  1. 1.

    Available from http://www.cs.svuni.in/~sorend/fylearn/.

  2. 2.

    Available from http://www.cs.svuni.in/~sorend/files/datasets.zip.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Sri Venkateswara University, Tirupati, 517502, India

    Søren Atmakuri Davidsen & M. Padmavathamma

Authors
  1. Søren Atmakuri Davidsen
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  2. M. Padmavathamma
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Corresponding author

Correspondence to Søren Atmakuri Davidsen .

Editor information

Editors and Affiliations

  1. ANITS, Prof., Comp. Sci. & Engg. Dept. ANITS, Visakhapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. JNTUH College of Engg. HYD (Autonomous), Prof. & Head, Comp. Sci. & Engg. Dept. JNTUH College of Engg. HYD (Autonomous), Hyderabad, Telangana, India

    V. Kamakshi Prasad

  3. JNTUH College of Engg. HYD (Autonomous), Pro., Dept. Computer Science & Engg. JNTUH College of Engg. HYD (Autonomous), Hyderabad, Telangana, India

    B. Padmaja Rani

  4. SCIS, University of Hyderabad , Hyderabad, India

    Siba K. Udgata

  5. CMR Technical Campus , Hyderabad, India

    K. Srujan Raju

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Davidsen, S.A., Padmavathamma, M. (2017). A Novel Hybrid Fuzzy Pattern Classifier Using Order-Weighted Averaging. In: Satapathy, S., Prasad, V., Rani, B., Udgata, S., Raju, K. (eds) Proceedings of the First International Conference on Computational Intelligence and Informatics . Advances in Intelligent Systems and Computing, vol 507. Springer, Singapore. https://doi.org/10.1007/978-981-10-2471-9_52

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  • DOI: https://doi.org/10.1007/978-981-10-2471-9_52

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2470-2

  • Online ISBN: 978-981-10-2471-9

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