| A Method of Attribute Reduction Based on Rough Set |
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| 作者姓名： | LI Chang-biao SONG Jian-ping |
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| 作者单位： | [1]School of Electronic and Information Engineering, Xi＇an Jiaotong University Xi＇an 710049 China |
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| 基金项目： | the National Natural Science Foundation of China （No.60308002）. |
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| 摘 要： | The main purpose of oil logging interpretation is to calculate the oil content in formation and set up the exploration scale by determining the lithology and reservoir parameter (porosity, permeability, and saturation ratio)1]. As the development of digital logging technology and tomography logging technology, more and more well logging data have been produced with exponential increase. Therefore, it is very important to extract the useful or interesting information from the database, and to …
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| 关 键 词： | 粗略数集 特征函数 数量计算 参数设置 |
| 收稿时间： | 2004-09-22 |
A Method of Attribute Reduction Based on Rough Set |
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| LI Chang-biao SONG Jian-ping.A Method of Attribute Reduction Based on Rough Set[J].Journal of Electronic Science Technology of China,2005,3(3):234-237. |
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| Authors: | LI Chang-biao SONG Jian-ping |
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| Abstract: | The logging attribute optimization is an important task in the well-logging interpretation. A method of attribute reduction is presented based on rough set. Firstly, the core information of the sample by a general reductive method is determined. Then, the significance of dispensable attribute in the reduction-table is calculated. Finally, the minimum relative reduction set is achieved. The typical calculation and quantitative computation of reservoir parameter in oil logging show that the method of attribute reduction is greatly effective and feasible in logging interpretation. |
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| Keywords: | rough set attribute reduction quantitative computation oil logging interpretation |
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