Active problem workspace reduction with a fast fuzzy classifier for real-time applications

A. Várkonyi-Kóczy, B. Tusor, J. T. Toth

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

In this paper, a Sequential Fuzzy Indexing Tables classifier is proposed for problems that require fast online operation. Its base idea comes from fuzzy hypermatrices (which are specialized versions of fuzzy look-up tables) that realize nearest-neighbor classification in order to recognize patterns similar to known ones. It is done by mapping the problem space into the memory in form of multidimensional matrices, so the class of the input data can be gained instantly in the evaluation phase. The downside of the base method is that the memory requirements scale exponentially with the number of attributes and the size of the attribute domains. The proposed classifier solves this issue for problems with large, but sparse workspaces by storing only a part of the problem domain. Thus instead of using a single multidimensional matrix, the classifier consists of a layered structure, breaking the multi-dimensional problem to a sequential combination of 2D fuzzy matrices.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4423-4428
Number of pages6
ISBN (Electronic)9781509018970
DOIs
Publication statusPublished - Feb 6 2017
Event2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Budapest, Hungary
Duration: Oct 9 2016Oct 12 2016

Other

Other2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016
CountryHungary
CityBudapest
Period10/9/1610/12/16

Keywords

  • Classification
  • Fuzzy hypermatrix
  • Fuzzy lookup tables
  • Real-time applications
  • Supervised learning

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Control and Optimization
  • Human-Computer Interaction

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  • Cite this

    Várkonyi-Kóczy, A., Tusor, B., & Toth, J. T. (2017). Active problem workspace reduction with a fast fuzzy classifier for real-time applications. In 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings (pp. 4423-4428). [7844927] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC.2016.7844927