Modelling growth in economic systems as the outcome of a process of self-organisational change: a fuzzy regression approach

2002 ◽  
pp. 185-207
Author(s):  
Bryan Morgan ◽  
John Foster
Keyword(s):  
Organisational Change ◽  
Fuzzy Regression ◽  
Economic Systems ◽  
Regression Approach

A fuzzy regression approach using Bernstein polynomials for the spreads: Computational aspects and applications to economic models

2016 ◽  
Vol 128 ◽  
pp. 13-25 ◽  
Author(s):  
Antonio Francisco Roldán López de Hierro ◽  
Juan Martínez-Moreno ◽  
Concepción Aguilar Peña ◽  
Concepción Roldán López de Hierro
Keyword(s):  
Bernstein Polynomials ◽  
Economic Models ◽  
Fuzzy Regression ◽  
Regression Approach ◽  
Computational Aspects

Chaos-Based Fuzzy Regression Approach to Modeling Customer Satisfaction for Product Design

2013 ◽  
Vol 21 (5) ◽  
pp. 926-936 ◽  
Author(s):  
Huimin Jiang ◽  
C. K. Kwong ◽  
W. H. Ip ◽  
Zengqiang Chen
Keyword(s):  
Customer Satisfaction ◽  
Product Design ◽  
Fuzzy Regression ◽  
Regression Approach

The Optimization of the Technological Process with the Fuzzy Regression

2014 ◽  
Vol 874 ◽  
pp. 151-155 ◽  
Author(s):  
Jacek Pietraszek ◽  
Ewa Skrzypczak-Pietraszek
Keyword(s):  
Automotive Industry ◽  
Small Sample Size ◽  
Final Analysis ◽  
Small Sample ◽  
Problem Definition ◽  
Fuzzy Regression ◽  
Small Sample Size Problem ◽  
Probabilistic Description ◽  
Regression Approach ◽  
The One

The paper contains: problem definition, presentation of the measured data and the final analysis with the fuzzy regression approach. The benefits of such approach are shown in the case of small size samples. Both mentioned technological processes, the one from the automotive industry and the second from the biotechnological industry, have shown the significant benefits of using the fuzzy regression. In the case of small sample size problem, the results obtained from the fuzzy regression have significantly narrower spread in the comparison with the traditional confidence interval being very wide. The approach should also be useful for similar studies, when the probabilistic description of uncertainty is not possible for the reason of the time, the equipment or the financial limits. The developed method will be useful in eventual transition of the process from a laboratory scale to an industrial scale.

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