Regression model with fuzzy outliers
Publish place: 11th Intelligent Systems Conference
Publish Year: 1391
Type: Conference paper
Language: English
View: 634
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Document National Code:
ICS11_245
Index date: 6 October 2013
Regression model with fuzzy outliers abstract
The rank transformation method is a simple procedure where the data are merely replaced with their corresponding ranks and is known to be a method that does not depend on the error distribution. We deal with the rank transformation method based on an alpha-level set of a fuzzy number to construct a fuzzy regression model. We also consider numerical examples to discuss effectiveness of the fuzzy regression model using the proposed method
Regression model with fuzzy outliers Keywords:
Regression model with fuzzy outliers authors
Seunghoe Choi
School of Liberal Arts and Sciences, Korea Aerospace University, Koyang ۴۱۲-۷۹۱, Korea
Jinhee Yoon
Department of Economics, Yonsei University, Seoul, ۱۲۰-۷۴۹, Korea