Corporate Performance Forecasting Using Hybrid Rough Set Theory, Neural Networks, and DEA-Reference-Cited by-同舟云学术

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Corporate Performance Forecasting Using Hybrid Rough Set Theory, Neural Networks, and DEA

Published:2013-03-25 Issue:3 Volume:41 Page:20120027
ISSN:0090-3973
Container-title:Journal of Testing and Evaluation
language:en
Short-container-title:J. Test. Eval.

Author:

Lin Chiun-Sin¹,Lin Tzu-Yu²,Chiu Sheng-Hsiung³

Affiliation:

1. Dept. of Business and Entrepreneurial Management, Kainan Univ., No. 1 Kainan Rd., Luzhu Shiang, Taoyuan 33857, TW, e-mail: netec7@yahoo.com.tw

2. Dept. of Management Science, National Chiao Tung Univ., No. 1001, Ta-Hsueh Rd., Hsinchu City 30010, TW, e-mail: blackmallows@gmail.com

3. Dept. of Management Science, National Chiao Tung Univ., No. 1001, Ta-Hsueh Rd., Hsinchu City 30010, TW (Corresponding author), e-mail: mika.bear0809@gmail.com; blackmallows@gmail.com

Publisher

ASTM International

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mining the Student Dropout in Higher Education;Journal of Testing and Evaluation;2019-01-02

2. A new method for constructing granular neural networks based on rule extraction and extreme learning machine;Pattern Recognition Letters;2015-12

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