fuzzyreg: Fuzzy Linear Regression

Estimators for fuzzy linear regression. The functions estimate parameters of fuzzy linear regression models with crisp or fuzzy independent variables (triangular fuzzy numbers are supported). Implements multiple methods for parameter estimation and algebraic operations with triangular fuzzy numbers. Includes functions for summarising, printing and plotting the model fit. Calculates predictions from the model and total error of fit. Diamond (1988) <doi:10.1016/0020-0255(88)90047-3>, Hung & Yang (2006) <doi:10.1016/j.fss.2006.08.004>, Lee & Tanaka (1999) <doi:10.15807/jorsj.42.98>, Nasrabadi, Nasrabadi & Nasrabady (2005) <doi:10.1016/j.amc.2004.02.008>, Tanaka, Hayashi & Watada (1989) <doi:10.1016/0377-2217(89)90431-1>, Zeng, Feng & Li (2017) <doi:10.1016/j.asoc.2016.09.029>.

Package details

AuthorPavel Skrabanek [aut, cph], Natalia Martinkova [aut, cre, cph]
MaintainerNatalia Martinkova <[email protected]>
LicenseGPL-3
Version0.5
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("fuzzyreg")

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fuzzyreg documentation built on Feb. 7, 2019, 5:06 p.m.