![](/images/graphics-bg.png)
Research of the Classification Model Based on Dominance Rough Set Approach for China Emergency Communication
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-03
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Ensuring smooth communication and recovering damaged communication system quickly and efficiently are the key to the entire emergency response, command, control, and rescue during the whole accident.
The classification of emergency communication level is the premise of emergency communication guarantee.
So, we use dominance rough set approach (DRSA) to construct the classification model for the judgment of emergency communication in this paper.
In this model, we propose a classification index system of emergency communication using the method of expert interview firstly and then use DRSA to complete data sample, reduct attribute, and extract the preference decision rules of the emergency communication classification.
Finally, the recognition accuracy of this model is verified; the testing result proves the model proposed in this paper is valid.
American Psychological Association (APA)
Zifu, Fan& Hong, Sun& Lihua, Wang. 2015. Research of the Classification Model Based on Dominance Rough Set Approach for China Emergency Communication. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1073815
Modern Language Association (MLA)
Zifu, Fan…[et al.]. Research of the Classification Model Based on Dominance Rough Set Approach for China Emergency Communication. Mathematical Problems in Engineering No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1073815
American Medical Association (AMA)
Zifu, Fan& Hong, Sun& Lihua, Wang. Research of the Classification Model Based on Dominance Rough Set Approach for China Emergency Communication. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1073815
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073815