Test-Cost-Sensitive Attribute Reduction of Data with Normal Distribution Measurement Errors

The measurement error with normal distribution is universal in applications. Generally, smaller measurement error requires better instrument and higher test cost. In decision making, we will select an attribute subset with appropriate measurement error to minimize the total test cost. Recently, erro...

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Bibliographic Details
Main Authors: Hong Zhao, Fan Min, William Zhu
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2013/946070