Rated Multiple Classification Ripple Down Rules (RM) and Ripple Down Models (RDM) are two of the successful prudent RDR approaches published. To date, there has not been a published, dedicated comparison of the two. This paper presents a systematic preliminary evaluation and analysis of the two techniques. The tests and results reported in this paper are the first phase of direct evaluations of RM and RDM against each other
<p>Several candidate RDMs are tested and compared for their ability to explain the reference RDM. As...
Traditionally Expert Systems (ES) require a full analysis of the business problem by a Knowledge Eng...
Revenue management (RM) is a complicated business process that can best be described as control of s...
The Ripple Down Rules (RDR) approach was developed by Compton and Jansen (Compton and Jansen 1989; ...
Multiple Classification Ripple Down Rules (MCRDR) is a simple and effective knowledge acquisition te...
Ripple Down Rules (RDR) is a knowledge acquisition method for knowledge based systems (KBS) which fa...
Abstract. Multiple Classification Ripple Down Rules (MCRDR) is a simple and effective knowledge acqu...
Ripple Down Rules (RDR) were developed in answer to the problem of maintaining medium to large rule-...
Ripple Down Rules (RDR) is a maturing collection of methodologies for the incremental development an...
Multiple Classification Ripple Down Rules (MCRDR) is a knowledge acquisition technique that produces...
<p>Raw results from RDP classifier were filtered with different confidence thresholds by a Python sc...
Rule-based classification system (RBC) has been widely used in many real world applications because ...
ABSTRACT Various methods, known as Multiple Criteria Decision Making Methods (MCDM), have been propo...
In real-world Multiple Attribute Decision Making (MADM) problem, the attribute weights information m...
The ROC curve is one of the most common statistical tools useful to assess classifier performance. T...
<p>Several candidate RDMs are tested and compared for their ability to explain the reference RDM. As...
Traditionally Expert Systems (ES) require a full analysis of the business problem by a Knowledge Eng...
Revenue management (RM) is a complicated business process that can best be described as control of s...
The Ripple Down Rules (RDR) approach was developed by Compton and Jansen (Compton and Jansen 1989; ...
Multiple Classification Ripple Down Rules (MCRDR) is a simple and effective knowledge acquisition te...
Ripple Down Rules (RDR) is a knowledge acquisition method for knowledge based systems (KBS) which fa...
Abstract. Multiple Classification Ripple Down Rules (MCRDR) is a simple and effective knowledge acqu...
Ripple Down Rules (RDR) were developed in answer to the problem of maintaining medium to large rule-...
Ripple Down Rules (RDR) is a maturing collection of methodologies for the incremental development an...
Multiple Classification Ripple Down Rules (MCRDR) is a knowledge acquisition technique that produces...
<p>Raw results from RDP classifier were filtered with different confidence thresholds by a Python sc...
Rule-based classification system (RBC) has been widely used in many real world applications because ...
ABSTRACT Various methods, known as Multiple Criteria Decision Making Methods (MCDM), have been propo...
In real-world Multiple Attribute Decision Making (MADM) problem, the attribute weights information m...
The ROC curve is one of the most common statistical tools useful to assess classifier performance. T...
<p>Several candidate RDMs are tested and compared for their ability to explain the reference RDM. As...
Traditionally Expert Systems (ES) require a full analysis of the business problem by a Knowledge Eng...
Revenue management (RM) is a complicated business process that can best be described as control of s...