A hybrid algorithm based on fuzzy linear regression analysis by quadratic programming for time estimation: An experimental study in manufacturing industry

2015 ◽  
Vol 36 ◽  
pp. 182-188 ◽  
Author(s):  
Kumru Didem Atalay ◽  
Ergün Eraslan ◽  
M. Oya Çinar
Keyword(s):  
Experimental Study ◽  
Regression Analysis ◽  
Linear Regression ◽  
Quadratic Programming ◽  
Hybrid Algorithm ◽  
Manufacturing Industry ◽  
Linear Regression Analysis ◽  
Time Estimation ◽  
Fuzzy Linear Regression

Intuitionistic fuzzy linear regression analysis

2012 ◽  
Vol 12 (2) ◽  
pp. 215-229 ◽  
Author(s):  
R. Parvathi ◽  
C. Malathi ◽  
M. Akram ◽  
Krassimir T. Atanassov
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Fuzzy Linear Regression ◽  
Intuitionistic Fuzzy

A Fuzzy Linear Regression Analysis for Fuzzy Input-Output Data Using the Least Squares Method under Linear Constraints and Its Application to Fuzzy Rating Data

1999 ◽  
Vol 3 (1) ◽  
pp. 36-41 ◽  
Author(s):  
Kazuhisa Takemura ◽  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Least Squares ◽  
Least Squares Method ◽  
Linear Regression Analysis ◽  
Linear Constraints ◽  
Fuzzy Linear Regression ◽  
Output Data ◽  
Rating Data ◽  
Fuzzy Input

Fuzzy linear regression analysis using the least squares method under linear constraint, where input data, output data, and coefficients are represented by triangular fuzzy numbers, was proposed and compared to possibilistic linear regression analysis proposed by Sakawa and Yano (1992) using fuzzy rating data in a psychological study. Major findings of the comparison were as follows: (1) Under the proposed analysis, the width between the maximum and minimum of the predicted model was nearer to the width of the dependent variable than that of possibilistic linear regression analysis, (2) the representative prediction by the proposed analysis was also nearer to that of the dependent variable, compared to that of possibilistic linear regression analysis.

Experimental Study on Cutting Forces in Turning Aluminum-Silicon Alloy

2012 ◽  
Vol 182-183 ◽  
pp. 8-11
Author(s):  
Yue Feng Yuan ◽  
Wen Ying Zhang ◽  
Xing Chang
Keyword(s):  
Experimental Study ◽  
Regression Analysis ◽  
Linear Regression ◽  
Cutting Force ◽  
Linear Regression Analysis ◽  
Carbide Tool ◽  
Silicon Alloy ◽  
Aluminum Silicon Alloy ◽  
Feed Force ◽  
Aluminum Silicon

Cutting force experiments in turning aluminum-silicon alloy were carried out with cement carbide tool YG8. Experimental formulae of cutting force, back force and feed force were determined based on multi-variable linear regression analysis, and they were verified by analysis of variance, the results showed that the regressed models could be used to predict cutting force under certain conditions.

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