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Fuzzy rule

A fuzzy rule is defined as a conditional statement in the form: IF x is ATHEN y is B where x and y are linguistic variables; A and B are linguistic… Expand
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Papers overview

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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 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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