THE SOFT REGRESSION METHOD- SUGGESTED IMPROVEMENTS
Eli Shnaider. Netanya Academic College 1 University St., Netanya, Israel
Nava Haruvy. Netanya Academic College 1 University St., Netanya, Israel
Arthur Yosef. Tel Aviv-Yaffo Academic College, 2 Rabenu Yeruham st., Tel Aviv-Yaffo, Israel
- Fuzzy Economic Review: Volume XIX, Number 2. November 2014
- DOI: 10.25102/fer.2014.02.02
Abstract
Soft regression is a regression technique based on fuzzy information processing and heuristic information processing methods. However, following the practical use of the method, it was found that two aspects of the calculations pertaining to the relative weights of explanatory variables could be improved to make the method more logical, and therefore more in line with heuristic basis of soft regression. In the following paper, we will present the soft regression method, the suggested improvements, and finally an example to illustrate the suggested improvements regarding factors affecting international growth and development.