Knowledge acquisition for reconstruction and identification of dimensionless groups by means of case based reasoning

2019 ◽  
Author(s):  
Fragiskos Batzias ◽  
Odysseas Kopsidas
Keyword(s):  
Knowledge Acquisition ◽  
Case Based Reasoning ◽  
Dimensionless Groups ◽  
Case Based

scholarly journals Metode Modified Weighted Minkowski Untuk Pengembangan Sistem Penalaran Berbasis Kasus

2017 ◽  
Vol 7 (1) ◽  
pp. 1
Author(s):  
Edi Faizal
Keyword(s):  
Data Collection ◽  
Knowledge Acquisition ◽  
Error Rate ◽  
Case Based Reasoning ◽  
Test Results ◽  
Research Focus ◽  
Accuracy Rate ◽  
Different Levels ◽  
Case Based ◽  
Representation Of Knowledge

Knowledge acquisition process is not easy, because of the different levels of expertise even though all true. Computer experts had tried other methods to resolve the problem of the acquisition, which is known as case-based reasoning. Representation of knowledge in CBR is a collection of previous case. This research focus is the application of CBR for diagnosing womb diseases. The level of similarity is calculated by using the modified weighted Minkowski. Methods of data collection are interviews, observation and study of literature. The test results show the system can be recognize the womb disease correctly is 94.44% (sensitivity), specitifity rate of 57.14%, PPV of 85.00% and 80.00% NPV. The system have an accuracy rate of 84.00% with an error rate of 16.00%.

On a Case-Based Reasoning Technique Based on Similarity Methods and its Use in Engineering Design

1997 ◽  
Author(s):  
Stephan Rudolph
Keyword(s):  
Engineering Design ◽  
Similarity Measures ◽  
Case Based Reasoning ◽  
Incomplete Knowledge ◽  
Future Design ◽  
Dimensionless Groups ◽  
Pi Theorem ◽  
Open Question ◽  
Reasoning Technique ◽  
Case Based

Abstract In the field of case-based reasoning (CBR), the derivation of so-called ‘similarity measures’ is an unresolved open question. In this work dimensional analysis is used to derive appropriate similarity conditions for a CBR technique. For the subclass of all case descriptions consisting of real-valued quantities with physical units, it is shown how the Pi-Theorem can be used to construct similarity conditions from these case descriptions. Within this approach a proof for the correctness of the CBR technique can be derived. The properties of the CBR technique using dimensionless groups indicate that it bears some potential in engineering design, where knowledge in the form of analytical equations is not always available. Often only pointwise and/or incomplete knowledge about the future design object in the form of previous designs, prototypes or simulation results is available and appears in certain cases to be sufficient for the new CBR technique.

scholarly journals Error repair and knowledge acquisition via case-based reasoning

1997 ◽  
Vol 91 (1) ◽  
pp. 85-101 ◽  
Author(s):  
Takeshi Kohno ◽  
Susumu Hamada ◽  
Dai Araki ◽  
Shoichi Kojima ◽  
Toshikazu Tanaka
Keyword(s):  
Knowledge Acquisition ◽  
Case Based Reasoning ◽  
Error Repair ◽  
Case Based

Knowledge acquisition tool for case-based reasoning s ystems

1995 ◽  
Vol 9 (2) ◽  
pp. 201-212 ◽  
Author(s):  
A.I. Mechitov ◽  
H.M. Moshkovich ◽  
D.L. Olson ◽  
B. Killingsworth
Keyword(s):  
Knowledge Acquisition ◽  
Case Based Reasoning ◽  
Case Based
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