This paper presents a matrix-driven multiple fuzzy linear regression model. The proposed model can deal with a mixture of fuzzy data and crisp data. An ...
A Fuzzy Regression Model for Predicting Non-Crisp Variable. Huaitien Wang. Department of Marketing and Logistics, China University of Technology. Nang-Fei Pan.
This paper presents a matrix-driven multiple fuzzy linear regression model. The proposed model can deal with a mixture of fuzzy data and crisp data. An ...
This paper presents a matrix-driven multiple fuzzy linear regression model. The proposed model can deal with a mixture of fuzzy data and crisp data. An ...
This paper presents a matrixdriven multiple fuzzy linear regression model. The proposed model can deal with a mixture of fuzzy data and crisp data. An ...
However, ordinary regression techniques are incapable of analyzing non-crisp or fuzzy observed data. This paper presents a matrix-driven multiple fuzzy linear ...
There are two general ways (not necessarily mutually exclusive) to develop a fuzzy regression model: (1) models where the relationship of the variables is fuzzy ...
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In the general fuzzy regression model both input and output data are fuzzy, the functional relationship between independent variables and the dependent variable ...
A Fuzzy Regression Model for Predicting Non-crisp Variable. Wang H., Pan N. Expand. Publication type: Proceedings Article. Publication date: 2008-10-01. —. DOI ...
Mar 10, 2023 · The Boscovich fuzzy regression line (BFRL) fits a simple model predicting non-symmetric fuzzy numbers from crisp descriptor. The prediction ...