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Rule-based system

Known as: Rule-based systems, RBS, Rule based system 
In computer science, rule-based systems are used as a way to store and manipulate knowledge to interpret information in a useful way. They are often… Expand
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Papers overview

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Highly Cited
2011
Highly Cited
2011
Rule-based systems (also known as production systems or expert systems) are the simplest form of artificial intelligence. A rule… Expand
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Highly Cited
2008
Highly Cited
2008
In this paper, a Takagi-Sugeno-Kang (TSK) type Fuzzy Rule Based System is developed for stock price prediction. The TSK fuzzy… Expand
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Highly Cited
2007
Highly Cited
2007
A belief rule-base inference methodology using the evidential reasoning approach (RIMER) has been developed recently, where a new… Expand
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Highly Cited
2007
Highly Cited
2007
Belief rule based expert systems are an extension of traditional rule based systems and are capable of representing more… Expand
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Highly Cited
2006
Highly Cited
2006
In this paper, a generic rule-base inference methodology using the evidential reasoning (RIMER) approach is proposed. Existing… 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
2000
Highly Cited
2000
We have developed a rule-based system, Quarc, that can read a short story and find the sentence in the story that best answers a… Expand
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Highly Cited
1993
Highly Cited
1993
The architecture and learning procedure underlying ANFIS (adaptive-network-based fuzzy inference system) is presented, which is a… 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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Highly Cited
1985
Highly Cited
1985
Rule-based systems automate problem-solving know-how, provide a means for capturing and refining human expertise, and are proving… Expand
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