### 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 language | English |
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Title of host publication | IEEE International Conference on Fuzzy Systems |

Editors | Anon |

Publisher | IEEE |

Pages | 1865-1870 |

Number of pages | 6 |

Volume | 3 |

Publication status | Published - 1996 |

Event | Proceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 3 (of 3) - New Orleans, LA, USA Duration: Sep 8 1996 → Sep 11 1996 |

### Other

Other | Proceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 3 (of 3) |
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City | New Orleans, LA, USA |

Period | 9/8/96 → 9/11/96 |

### Fingerprint

### ASJC Scopus subject areas

- Chemical Health and Safety
- Software
- Safety, Risk, Reliability and Quality

### Cite this

*IEEE International Conference on Fuzzy Systems*(Vol. 3, pp. 1865-1870). IEEE.

**Optimal fuzzy rule bases - the cat and mouse problem.** / Kóczy, L.; Zorat, A.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*IEEE International Conference on Fuzzy Systems.*vol. 3, IEEE, pp. 1865-1870, Proceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 3 (of 3), New Orleans, LA, USA, 9/8/96.

}

TY - GEN

T1 - Optimal fuzzy rule bases - the cat and mouse problem

AU - Kóczy, L.

AU - Zorat, A.

PY - 1996

Y1 - 1996

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0030406336&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0030406336&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0030406336

VL - 3

SP - 1865

EP - 1870

BT - IEEE International Conference on Fuzzy Systems

A2 - Anon, null

PB - IEEE

ER -