A note on fuzzy regression model with fuzzy input and output data for manpower forecasting

Dug Hun Hong; Hwa-Cho Yi

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A note on fuzzy regression model with fuzzy input and output data for manpower forecasting

机译：关于具有模糊输入和输出数据的人力预测的模糊回归模型的注记

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摘要

Lee and Chen (Fuzzy Sets and Systems 119 (2001) 205) introduced a generalized fuzzy linear regression model and proposed a nonlinear programming model to identify the fuzzy parameters and their vagueness for the generalized regression model. In this note, we show that the proposed nonlinear programming model is invalid.

机译：Lee和Chen（Fuzzy Sets and Systems 119（2001）205）引入了广义模糊线性回归模型，并提出了非线性规划模型来识别广义回归模型的模糊参数及其模糊性。在此注释中，我们表明所提出的非线性规划模型是无效的。

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来源
《Fuzzy sets and systems》 |2003年第2期|p.301-305|共5页
作者
Dug Hun Hong; Hwa-Cho Yi;
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作者单位

School of Mechanical and Automotive Engineering, Catholic University of Daegu, Kyungbuk 712-702, South Korea;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类模糊数学;
关键词
fuzzy regression; nonlinear programming model;

机译：模糊回归;非线性规划模型;

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1. Fuzzy regression model with fuzzy input and output data for manpower forecasting [J] . Hong Tau Lee, Sheu Hua Chen Fuzzy sets and systems . 2001,第2期

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5. Development of fuzzy system and nonlinear regression models for ozone and PM2.5 air quality forecasts. [D] . Lin, Yiqiu. 2007

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6. Intuitionistic Fuzzy Weighted Linear Regression Model with Fuzzy Entropy under Linear Restrictions [O] . Gaurav Kumar, Rakesh Kumar Bajaj 2014

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A note on fuzzy regression model with fuzzy input and output data for manpower forecasting

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