| 基于粗糙集与模糊学的岩性识别 |
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| 引用本文： | 覃豪,张超谟. 基于粗糙集与模糊学的岩性识别[J]. 石油天然气学报, 2004, 26(4): 60-62 |
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| 作者姓名： | 覃豪 张超谟 |
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| 作者单位： | 油气资源与勘探技术教育部重点实验室,长江大学;长江大学地球物理与石油资源学院,湖北,荆州,434023;油气资源与勘探技术教育部重点实验室,长江大学;长江大学地球物理与石油资源学院,湖北,荆州,434023 |
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| 基金项目： | 教育部重点实验室发展规划项目 (2 0 0 1CB2 0 91 0 0 ) |
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| 摘 要： | 简单介绍了智能信息处理中的Rough Set(RS)理论，引入支持度作为条件属性和决策属性之间的度量．同时介绍了支持度的计算方法。提出了将RS理论与模糊分析理论结合起来进行测井信息优化，并将该嗓统应用于岩性识别。识别结果表明。该系统速度快，易实现，提高了识别的正确性。为岩性识别提供了一条新途径，该系统还可以应用于其他模式的识别。
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| 关 键 词： | 粗集理论 模糊分析 支持度 贴近度 岩性识别 |
| 文章编号： | 1000-9752(2004)04-0060-03 |
Lithologic Recognition Based Rough Set and Fuzzy Theory |
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| QIN Hao,ZHANG Chao-mo. Lithologic Recognition Based Rough Set and Fuzzy Theory[J]. Journal of Oil and Gas Technology, 2004, 26(4): 60-62 |
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| Authors: | QIN Hao ZHANG Chao-mo |
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| Abstract: | Theory of Rough Set in intelligent data process is introduced in brief, the support degree is introduced as measurement between conditional attribute and decision-making attribute, and at the same time, a method for calculating the support degree is introduced, too. It is proposed that the theory of Rough Set is combined with the theory of fuzzy analysis for logging data optimization, and the system is used for lithologic recognition. The result shows that the system is quick in application and easy to be implemented, by which the correctness of recognition is improved, and a new way is provided for the lithologic recognition, thus the system can also be used for pattern recognition. |
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| Keywords: | Rough Set theory fuzzy analysis degree of support rate of closeness |
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