Re-granulating a fuzzy rulebase

Scott Dick; Adam Schencker; Mark Last; Horst Bunke; Abraham Kandel

Re-granulating a fuzzy rulebase

Scott Dick, Adam Schencker, Mark Last, Horst Bunke, Abraham Kandel

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

In this paper we describe a computing-with-words algorithm for changing the granularity of an existing rulebase. A fuzzy rulebase is regranulated by manually selecting the granularity of each input dimension, and then automatically calculating the rulebase consequents. We demonstrate this algorithm by studying the common "fuzzy-PD" rulebase at various granularities. In this study, we find evidence that the "3×3" fuzzy-PD rulebase may be too coarse a granularity for this problem.

Original language	English
Pages	372-375
Number of pages	4
State	Published - 1 Dec 2001
Externally published	Yes
Event	10th IEEE International Conference on Fuzzy Systems - Melbourne, Australia Duration: 2 Dec 2001 → 5 Dec 2001

Conference

Conference	10th IEEE International Conference on Fuzzy Systems
Country/Territory	Australia
City	Melbourne
Period	2/12/01 → 5/12/01

ASJC Scopus subject areas

Software
Theoretical Computer Science
Artificial Intelligence
Applied Mathematics

Cite this

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AU - Schencker, Adam

AU - Last, Mark

AU - Bunke, Horst

AU - Kandel, Abraham

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Y1 - 2001/12/1

N2 - In this paper we describe a computing-with-words algorithm for changing the granularity of an existing rulebase. A fuzzy rulebase is regranulated by manually selecting the granularity of each input dimension, and then automatically calculating the rulebase consequents. We demonstrate this algorithm by studying the common "fuzzy-PD" rulebase at various granularities. In this study, we find evidence that the "3×3" fuzzy-PD rulebase may be too coarse a granularity for this problem.

AB - In this paper we describe a computing-with-words algorithm for changing the granularity of an existing rulebase. A fuzzy rulebase is regranulated by manually selecting the granularity of each input dimension, and then automatically calculating the rulebase consequents. We demonstrate this algorithm by studying the common "fuzzy-PD" rulebase at various granularities. In this study, we find evidence that the "3×3" fuzzy-PD rulebase may be too coarse a granularity for this problem.

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M3 - Paper

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T2 - 10th IEEE International Conference on Fuzzy Systems

Y2 - 2 December 2001 through 5 December 2001

ER -

Re-granulating a fuzzy rulebase

Abstract

Conference

ASJC Scopus subject areas

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Cite this