加权粗糙集算法的PDA图书馆最优选书策略

PDA

12

1.454003

2.467000

PDA

PDA PDA

PDA TP301.6

A

1001-7119201507-0152-04

Most Preferred Strategy of PDA Library Book Selection Based on Weighted Rough Algorithm

Chen Lei 1Yang Xingwei 2

1.Henan Polytechnic University Jiaozuo Henan 454003China

2.He 'nan Quality Polytechnic He 'nan Pingdingshan 467000China

Abstract Bayesian network model for a standard library book selection in PDA applications analysis showed large errors,this paper presents an optimization model based on Bayesian network PDA choosing books based on the weighted rough set,first using rough set way,reconstructed collection of properties,with a new set of properties instead of the original set of attributes,and then use the properties described sequence method,the condition attribute reduction thus obtained will be arranged in sequential order after attribute effect on the decision in accordance with decreasing order,in order to reduce little effect

this defect,weighted manner Bayesian model based on rough set to improve.The simulation results show that Bayesian network optimization based on the weighted rough set book selection system fully functional PDA and Selected Stories by actually choosing books to prove its high accuracy.

Keywords bayesian network model PDA book selection policy rough set weighted optimization

2015-03-20

1980-

E-mail 35182905@

PDA PDA

PDA Netlibrary [4]Ingram Digital [5]

EBL [6]Ebrary [7]PDA

PDA

31720157

BULLETIN OF SCIENCE AND TECHNOLOGY

Vol.31No.7Jul.2015

7

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