Flexible estimation of cost functions based on fuzzy logic modeling approach

Flexible estimation of cost functions based on fuzzy logic modeling approach

0.00 Avg rating0 Votes
Article ID: iaor20063422
Country: Spain
Volume: 3
Issue: 2
Start Page Number: 49
End Page Number: 68
Publication Date: Nov 1998
Journal: Fuzzy Economic Review
Authors:
Keywords: fuzzy sets
Abstract:

Economists currently deal with the modeling of nonlinear processes, having complex structure and large dimensionality. The traditional modeling methods, such as nonlinear regression analysis, generally fail in providing appropriate solutions to this problem, especially in the cases when the functional form of the model is unknown and has to be guessed. This paper is intended to give a summary description of an alternative technique, the fuzzy logic modeling method, and to promote it as a powerful tool for modeling producer behavior. In order to provide a comparative analysis, we test for estimation accuracy both in the fuzzy logic model and in the parametric model based on translog function that is accepted as one of the most flexible functional form. The two methods are applied to the same data set. Finally, we describe a MATLAB implementation of a flexible technique for fuzzy logic model identification and system optimization.

Reviews

Required fields are marked *. Your email address will not be published.