An assessment method for the impact of missing data in the rough set-based decision fusion-Reference-Cited by-同舟云学术

An assessment method for the impact of missing data in the rough set-based decision fusion

Published:2016-11-08 Issue:6 Volume:20 Page:1267-1284
ISSN:1088-467X
Container-title:Intelligent Data Analysis
language:
Short-container-title:IDA

Author:

Han Shan¹²,Jin Xiaoning²,Li Jianxun¹

Affiliation:

1. Department of Automation, Shanghai Jiao Tong University, Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai, China

2. Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI, USA

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Theoretical Computer Science

Reference36 articles.

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3. Analyzing data sets with missing data: An empirical evaluation of imputation methods;Myrtveit;IEEE Transactions on Software Engineering,2001

4. Artificial neural network models for forecasting and decision making;Hill;International Journal of Forecasting,1994

5. Modeling medical decision making by support vector machines, explaining by rules of evolutionary algorithms with feature selection;Stoean;Expert Systems with Applications,2013

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