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Highly Cited

2009

Highly Cited

2009

This paper introduces a novel fuzzy rule-based classification method called FURIA, which is short for Fuzzy Unordered Rule… Expand

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Highly Cited

2008

Highly Cited

2008

A new approach to the online classification of streaming data is introduced in this paper. It is based on a self-developing… Expand

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Highly Cited

2005

Highly Cited

2005

This paper shows how the rule weight of each fuzzy rule can be specified in fuzzy rule-based classification systems. First, we… Expand

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Highly Cited

2004

Highly Cited

2004

This paper shows how a small number of simple fuzzy if-then rules can be selected for pattern classification problems with many… Expand

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Highly Cited

2004

Highly Cited

2004

The concept of fuzzy rule interpolation in sparse rule bases was introduced in 1993. It has become a widely researched topic in… Expand

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Highly Cited

2001

Highly Cited

2001

A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks

A fast approach for automatically generating fuzzy rules from sample patterns using generalized dynamic fuzzy neural networks (GD… Expand

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Highly Cited

2000

Highly Cited

2000

This paper examines the effect of rule weights in fuzzy rule-based classification systems. Each fuzzy rule in our classification… Expand

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Highly Cited

1996

Highly Cited

1996

Abstract Most fuzzy controllers and fuzzy expert systems must predefine membership functions and fuzzy inference rules to map… Expand

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Highly Cited

1994

Highly Cited

1994

From the Publisher:
At last, here is a thorough introduction that offers complete coverage of all relevant theory and… Expand

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Highly Cited

1992

Highly Cited

1992

A general method is developed to generate fuzzy rules from numerical data. The method consists of five steps: divide the input… Expand

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