Research of the Classification Model Based on Dominance Rough Set Approach for China Emergency Communication. (3rd March 2015)
- Record Type:
- Journal Article
- Title:
- Research of the Classification Model Based on Dominance Rough Set Approach for China Emergency Communication. (3rd March 2015)
- Main Title:
- Research of the Classification Model Based on Dominance Rough Set Approach for China Emergency Communication
- Authors:
- Zifu, Fan
Hong, Sun
Lihua, Wang - Other Names:
- Bruchon Julien Academic Editor.
- Abstract:
- Abstract : 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.
- Is Part Of:
- Mathematical problems in engineering. Volume 2015(2015)
- Journal:
- Mathematical problems in engineering
- Issue:
- Volume 2015(2015)
- Issue Display:
- Volume 2015, Issue 2015 (2015)
- Year:
- 2015
- Volume:
- 2015
- Issue:
- 2015
- Issue Sort Value:
- 2015-2015-2015-0000
- Page Start:
- Page End:
- Publication Date:
- 2015-03-03
- Subjects:
- Engineering mathematics -- Periodicals
510.2462 - Journal URLs:
- https://www.hindawi.com/journals/mpe/ ↗
http://www.gbhap-us.com/journals/238/238-top.htm ↗ - DOI:
- 10.1155/2015/428218 ↗
- Languages:
- English
- ISSNs:
- 1024-123X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10688.xml