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     Research Journal of Applied Sciences, Engineering and Technology


Based on the Force Deployment Model of Unascertained Expectation

Jianli Chen
Armed Police Force Engineering University College of Science, Xi'an 710086, China
Research Journal of Applied Sciences, Engineering and Technology  2013  20:4890-4894
http://dx.doi.org/10.19026/rjaset.5.4337  |  © The Author(s) 2013
Received: September 27, 2012  |  Accepted: December 13, 2012  |  Published: May 15, 2013

Abstract

In this study, we utilize the unascertained mathematics method to give the unascertained number of countermeasure of anti-terrorism strategic force deployment and unknown event. It has been defined the situation sets of force deployment, condition density and mathematical expectation of density model. It has been given the unascertained parameters Cij which decide and direct the force deployment. Find out the condition density matrix of force deployment, further get the conditional density of single target force deployment, using the maximum density mathematical expectation in order to get the optimal mathematical model of multiple target force deployment. Analyzing the coefficient of model and provide two kinds of discussed computing method. The model overcomes the limitation of past deterministic thinking method which study the force deployment and provide the decision maker a relative substantial theory evidence.

Keywords:

Conditional density, force deployment, mathematical expectation, model, situation, unascertained number,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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