Nonparametric Regression with Trapezoidal Fuzzy Data

Abstract

This paper is an investigation into nonparametric fuzzy regression with crisp input and asymmetric trapezoidal fuzzy output. It analyzes the a nonparametric techniques in statistics, namely local linear smoothing (L-L-S) with trapezoidal fuzzy data to obtain the best smoothing parameters. In addition, it makes an analysis on one real-world datasets and calculates the goodness of fit to illustrate the application of the proposed method.
DOI: 10.17762/ijritcc2321-8169.150670