Research Article | OPEN ACCESS
Determination Method of Nonlinear Membership Function Based on the Density Function of the Square Error
1Liu Qi, 2Liu Kuili, 3Liu Xuelin, 4Wang Jie, 5Chen Zhanwei and 6Huang Zhenzhen
1Department of Physics and Electronic Engineering
2Deparement of Laboratory and Equipment Management, Zhoukou Normal University,
Zhoukou, 466001, China
3Medical Instrument Testing Institute of Henan Province, Zhengzhou, 450003, China
4School of Electric Engineering, Zhengzhou University, Zhengzhou, 450001, China
5Department of Computer Science
6Department of Politics and Law, Zhoukou Normal University, Zhoukou, 466001, China
Research Journal of Applied Sciences, Engineering and Technology 2013 8:2504-2508
Received: July 27, 2012 | Accepted: September 03, 2012 | Published: March 15, 2013
Abstract
In this study, membership function is used to express the uncertainty in the petroleum drilling, then the fuzzy density clustering method based on density function of square error is put forward, which has avoided the defect of artificial clustering parameter and initial centroid, by using this fast algorithm, the clustering center, the number of clustering center and the parameters used for describing the nonlinear membership function can be obtained. In the simulation, the nonlinear membership function of change percentage of flow out rate EB_Da36 is determined, which has solved the problem that the membership function is hard to be defined.
Keywords:
Density function of square error, flow out rate, function approximation, fuzzy density cluster, membership function, petroleum drilling,
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.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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