| 一种知识推理规则归纳系统的实现 |
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| 引用本文： | 刘建成,蒋新华,吴今培. 一种知识推理规则归纳系统的实现[J]. 系统工程, 2003, 21(3): 107-112 |
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| 作者姓名： | 刘建成 蒋新华 吴今培 |
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| 作者单位： | 中南大学,信息工程学院,湖南,长沙,410075 |
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| 基金项目： | 湖南省自然科学基金资助项目 (0 1JJY2 0 6 3)，湖南省专项资金资助项目 (OOJCY2 0 0 8) |
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| 摘 要： | 从经验数据归纳出决策规则的主要障碍之一是对象中信息的不一致。本文综合粗糙集理论、遗传算法及布尔逻辑各自的特点，提出集成的归纳学习方法，开发出一个能够从不一致信息中归纳出完备性规则和可能性规则归纳引擎，应用事例数据对系统进行验证并给出验证结果。
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| 关 键 词： | 知识推理 规则归纳系统 粗糙集理论 知识系统 人工智能 |
| 文章编号： | 1001-4098(2003)03-0107-06 |
Realization of a Knowledge Inference Rule Induction System |
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| LIU Jian-cheng,JIANG Xin-hua,WU Jin-pei. Realization of a Knowledge Inference Rule Induction System[J]. Systems Engineering, 2003, 21(3): 107-112 |
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| Authors: | LIU Jian-cheng JIANG Xin-hua WU Jin-pei |
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| Abstract: | One of the major obstacles in performing rule induction from empirical data is the inconsistency of information about the object. For inductive learning, the paper makes an approach to integrates respective traits of rough sets, genetic algorithms and Boolean logic. Using such an approach, a system that can discovers certain rules or possible rules form inconsistent information,has been developed. The system is validated by case data and the results of validation are presented in the paper. |
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| Keywords: | Rough Sets Rule Induction Genetic Algorithms |
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