DocumentCode :
3573599
Title :
Research on the Comprehensive Post Evaluation model for the productive capacity based on the improved AHP and SVR
Author :
Ruishan Du ; Fuhua Shang
Author_Institution :
Sch. of Comput. & Inf. Technol., Northeast Pet. Univ., Daqing, China
fYear :
2014
Firstpage :
5207
Lastpage :
5210
Abstract :
According to the characteristics of post evaluation for the productive capacity construction project of oilfield and the actual situation of oilfield, detailed analyzed the evaluation index, the relationship and the impact to the Comprehensive Post Evaluation of the post evaluation for the productive capacity construction project of oilfield, proposed the comprehensive post evaluation model based on the improved AHP and SVR. Using the improved AHP to determine the weights of the evaluation index, and evaluating through the SVR, to improve the classification accuracy and precision of the results. This model not only to compensate for the defects of the subjective estimation weights, but taking into account the effect, evaluating scientifically and objectively. The experimental results demonstrated the effectiveness of the method.
Keywords :
analytic hierarchy process; petroleum industry; production management; AHP; SVR; analytic hierarchy process; comprehensive post evaluation model; evaluation index; oilfield; productive capacity construction project; Analytical models; Computational modeling; Data models; Educational institutions; Indexes; Support vector machines; Training; AHP; SVR; productive capacity; the post evaluation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
Type :
conf
DOI :
10.1109/WCICA.2014.7053601
Filename :
7053601
Link To Document :
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