Expert systems have been increasingly popular for commercial importance. A rule based system is a special type of an expert system, which consists of a set of ‘if-then‘ rules and can be applied as a decision support system in many areas such as healthcare, transportation and security. Rule based systems can be constructed based on both expert knowledge and data. This paper aims to introduce the theory of rule based systems especially on categorization and construction of such systems from a conceptual point of view. This paper also introduces rule based systems for classification tasks in detail
Rules are a common symbolic model of knowledge. Rule-based systems share roots in cognitive science ...
Automatic generation of classification rules has been an increasingly popular technique in commercia...
The purpose of this paper is to provide a brief overview of expert systems technology and its potent...
Rule-Based Systems (RBS) are computer programs based on technologies established by Artificial Intel...
An overview of rule-based systems, the best currently available means for codifying the problem-solv...
Abstract- In many expert systems classifier technique is successfully applied. Expert system means t...
This article attempted to explain ruled-based expert systems. The separation of the inference engine...
The ideas introduced in this book explore the relationships among rule based systems, machine learni...
Current expert systems are typically difficult to change once they are built. The authors introduce ...
Expert systems are proliferating in many situations in which it is important to capture expertise in...
Rulebased systems constitute a powerful tool for specification of knowledge in design and implementa...
In this paper we will see how an expert system could be created. Expert system is a set of programs ...
AbstractOne of the most important problems with rule induction methods is that they cannot extract r...
The creation of expert systems is one way in which knowledge is codified. In creating an expert syst...
In this paper, rule-based expert system for Blood Donation Bank is proposed in this paper. Rule-base...
Rules are a common symbolic model of knowledge. Rule-based systems share roots in cognitive science ...
Automatic generation of classification rules has been an increasingly popular technique in commercia...
The purpose of this paper is to provide a brief overview of expert systems technology and its potent...
Rule-Based Systems (RBS) are computer programs based on technologies established by Artificial Intel...
An overview of rule-based systems, the best currently available means for codifying the problem-solv...
Abstract- In many expert systems classifier technique is successfully applied. Expert system means t...
This article attempted to explain ruled-based expert systems. The separation of the inference engine...
The ideas introduced in this book explore the relationships among rule based systems, machine learni...
Current expert systems are typically difficult to change once they are built. The authors introduce ...
Expert systems are proliferating in many situations in which it is important to capture expertise in...
Rulebased systems constitute a powerful tool for specification of knowledge in design and implementa...
In this paper we will see how an expert system could be created. Expert system is a set of programs ...
AbstractOne of the most important problems with rule induction methods is that they cannot extract r...
The creation of expert systems is one way in which knowledge is codified. In creating an expert syst...
In this paper, rule-based expert system for Blood Donation Bank is proposed in this paper. Rule-base...
Rules are a common symbolic model of knowledge. Rule-based systems share roots in cognitive science ...
Automatic generation of classification rules has been an increasingly popular technique in commercia...
The purpose of this paper is to provide a brief overview of expert systems technology and its potent...