Optimal fuzzy rule bases - the cat and mouse problem

L. T. Koczy, A. Zorat

Research output: Paper

1 Citation (Scopus)

Abstract

Approximate fuzzy rule-based models are more precise if their size is bigger. A larger model, however, requires more time for its evaluation and hence the problem arises of finding a compromise between size and accuracy for the task at hand. This trade-off between computation time and precision is mapped into the problem of tracking a moving target: higher accuracy results in a tighter precision of the target location, but at the cost of longer computation time, during which the target can move further away, thus ultimately requiring a longer search time for target localization. This paper examines the problem of determining the optimal rule-base size that will yield a minimum total time required to repeatedly re-acquire a moving target, as done by a cat that plays with a mouse. The general problem has no known solution: here solutions of specific cases will be presented.

Original languageEnglish
Pages1865-1870
Number of pages6
Publication statusPublished - dec. 1 1996
EventProceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 3 (of 3) - New Orleans, LA, USA
Duration: szept. 8 1996szept. 11 1996

Other

OtherProceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 3 (of 3)
CityNew Orleans, LA, USA
Period9/8/969/11/96

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ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

Cite this

Koczy, L. T., & Zorat, A. (1996). Optimal fuzzy rule bases - the cat and mouse problem. 1865-1870. Paper presented at Proceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 3 (of 3), New Orleans, LA, USA, .