Probably approximately correct learning in fuzzy classification systems

1995 ◽  
Vol 3 (4) ◽  
pp. 473-478 ◽  
Author(s):  
F. Bergadano ◽  
V. Cutello
Keyword(s):  
Classification Systems ◽  
Fuzzy Classification ◽  
Probably Approximately Correct Learning ◽  
Probably Approximately Correct

Computerized Cone Penetration Test for Soil Classification

2008 ◽  
Vol 2053 (1) ◽  
pp. 47-64 ◽  
Author(s):  
Murad Y. Abu-Farsakh ◽  
Zhongjie Zhang ◽  
Mehmet Tumay ◽  
Mark Morvant
Keyword(s):  
Classification System ◽  
Soil Classification ◽  
Cone Penetration Test ◽  
Classification Systems ◽  
Fuzzy Classification ◽  
Classification Methods ◽  
Penetration Test ◽  
Cone Penetration ◽  
Cone Tip Resistance ◽  
Tip Resistance

Computerized MS-Windows Visual Basic software of a cone penetration test (CPT) for soil classification was developed as part of an extensive effort to facilitate the implementation of CPT technology in many geotechnical engineering applications. Five CPT soil engineering classification systems were implemented as a handy, user-friendly, software tool for geotechnical engineers. In the probabilistic region estimation and fuzzy classification methods, a conformal transformation is first applied to determine the profile of soil classification index (U) with depth from cone tip resistance (qc) and friction ratio (Rf). A statistical correlation was established in the probabilistic region estimation method between the U index and the compositional soil type given by the Unified Soil Classification System. Conversely, the CPT fuzzy classification emphasizes the certainty of soil behavior. The Schmertmann and Douglas and Olsen methods provide soil classification charts based on cone tip resistance and friction ratio. However, Robertson et al. proposed a three-dimensional classification system that is presented in two charts: one chart uses corrected tip resistance (qt) and friction ratio (Rf); the other chart uses qt and pore pressure parameter (Bq) as input data. Five sites in Louisiana were selected for this study. For each site, CPT tests and the corresponding soil boring results were correlated. The soil classification results obtained using the five different CPT soil classification methods were compared.

scholarly journals Hybrid Harmony Search And Genetic For Fuzzy Classification Systems

2014 ◽  
Vol 10 (03) ◽  
pp. 203-211
Author(s):  
Maryam Sadat Mahmoodi ◽  
Seyed Abbas Mahmoodi
Keyword(s):  
Harmony Search ◽  
Classification Systems ◽  
Fuzzy Classification

Fuzzy classification systems

2004 ◽  
Vol 156 (2) ◽  
pp. 495-507 ◽  
Author(s):  
A. Amo ◽  
J. Montero ◽  
G. Biging ◽  
V. Cutello
Keyword(s):  
Classification Systems ◽  
Fuzzy Classification
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