@inbook{67dcc1ebdf8f4954847960169ed54c81,
title = "Solving fuzzy linear regression with hybrid optimization",
abstract = "Fuzzy linear regression is an important tool to find the linear inexact relationship between uncertain data. We then propose a hybrid optimization method based on tabu search and harmony search as a potential way of solving fuzzy linear regression. The proposed method aims at finding a model without considering any mathematical constraints while reducing the error of the regression's model in comparison to other methods. The experimental comparison of the results for two classes of crisp input-fuzzy output and fuzzy input-fuzzy output data sets shows the superiority of the method over the existing ones.",
author = "Mashinchi, {M. H.} and Orgun, {M. A.} and M. Mashinchi",
year = "2009",
doi = "10.1007/978-3-642-10684-2_37",
language = "English",
isbn = "9783642106828",
series = "Lecture Notes in Computer Science",
publisher = "Springer, Springer Nature",
pages = "336--343",
editor = "Leung, {Chi Sing} and Minho Lee and Chan, {Jonathan H.}",
booktitle = "Neural Information Processing",
address = "United States",
edition = "PART 2",
note = "16th International Conference on Neural Information Processing, ICONIP 2009 ; Conference date: 01-12-2009 Through 05-12-2009",
}