In this paper, we discuss the problem of regression analysis in a fuzzy domain. By considering an iterative Weighted Least Squares estimation approach, we propose a general linear regression model for studying the dependence of a general class of fuzzy response variable, i.e., <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$$LR_2$$</EquationSource> <EquationSource Format="MATHML"> <math xmlns:xlink="http://www.w3.org/1999/xlink"> <mrow> <mi>L</mi> <msub> <mi>R</mi>...</mn></msub></mrow></math></equationsource></equationsource></inlineequation>

This paper presented a Fuzzy Regression Forecasting Model (FRFM) to forecast demand by examining present international air cargo market. Accuracy is one of the most important concerns when dealing with forecasts. However, there is one problem that is often overlooked. That is, an accurate...

This paper is written with two congruent objectives. The first is to develop a framework for individual tests of significance of a fuzzy regression model by employing a simple probabilistic estimation procedure. The proposed test, based on two-phase fuzzy regression estimates, is simple and...