Shooting-inspired fuzzy logic expert system for ready-mixed concrete plants

2013 ◽  
Vol 25 (2) ◽  
pp. 481-491 ◽  
Author(s):  
Wilson Ricardo Leal da Silva ◽  
Petr Štemberk
Keyword(s):  
Fuzzy Logic ◽  
Expert System ◽  
Fuzzy Logic Expert System ◽  
Ready Mixed Concrete ◽  
Mixed Concrete

scholarly journals Modeling the seam strength of denim garments by using fuzzy expert system

2021 ◽  
Vol 16 ◽  
pp. 155892502198897
Author(s):  
Joy Sarkar ◽  
Md Abdullah Al Faruque ◽  
Moni Sankar Mondal
Keyword(s):  
Fuzzy Logic ◽  
Expert System ◽  
Linear Density ◽  
Unit Length ◽  
Coefficient Of Determination ◽  
Sewing Thread ◽  
External Forces ◽  
Fuzzy Logic Expert System ◽  
The Relationship ◽  
Sufficient Strength

The main purpose of this study is to predict and develop a model for forecasting the Seam Strength (SS) of denim garments with respect to the thread linear density (tex) and Stitches Per Inch (SPI) by using a Fuzzy Logic Expert System (FLES). The seam strength is an important factor for the serviceability of any garments. As seams bound the fabric pieces together in a garment, the seams must have sufficient strength to execute this property even in the unexpected severe conditions where the garments are subjected to loads or any additional internal or external forces. Sewing thread linear density and number of stitches in a unit length of the seam are the two of the most important factors that affect the seam strength of any garments. But the relationship among these two specific variables and the seam strength is complex and non-linear. As a result, a fuzzy logic based model has been developed to demonstrate the relationship among these parameters and the developed model has been validated by the experimental trial. The coefficient of determination ( R2) was found to be 0.98. The mean relative error also lies withing acceptable limit. The results have suggested a very good performance of the model in the case of the prediction of the seam strength of the denim garments.

An internet-based fuzzy logic expert system for organ transplantation assignment

2001 ◽  
Vol 3 (5/6) ◽  
pp. 386 ◽  
Author(s):  
Yufei Yuan ◽  
Stuart Feldhamer ◽  
Amiram Gafni ◽  
Francis Fyfe ◽  
David Ludwin
Keyword(s):  
Fuzzy Logic ◽  
Expert System ◽  
Organ Transplantation ◽  
Fuzzy Logic Expert System
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