| 基于模糊对象的不精确需求建模 |
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| 引用本文： | 潘洪军,孙吉贵.基于模糊对象的不精确需求建模[J].吉林大学学报(理学版),2007,45(4):572-576. |
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| 作者姓名： | 潘洪军 孙吉贵 |
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| 作者单位： | 1. 吉林大学 计算机科学与技术学院， 符号计算与知识工程教育部重点实验室， 长春 130012;2. 通化师范学院 计算机科学系， 吉林省 通化 134002 |
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| 基金项目： | 国家自然科学基金
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国家自然科学基金
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吉林省科技发展计划 |
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| 摘 要： | 用模糊贴近度方法获取模糊类， 在模糊类中通过封装的模糊规则描述属性之间的关系， 根据模糊贴近度和模糊范围定义了用于计算子类和超类、 对象和类之间的隶属函数， 解决了对不精确和不确定复杂信息的获取问题， 所得结果可用于不精确需求建模.
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| 关 键 词： | 模糊贴近度 模糊类 不精确需求 |
| 文章编号： | 1671-5489（2007）04-0572-05 |
| 收稿时间： | 2006-09-15 |
| 修稿时间： | 2006-09-15 |
Imprecise Requirement Modeling Based on Fuzzy Object |
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| PAN Hong-jun,SUN Ji-gui.Imprecise Requirement Modeling Based on Fuzzy Object[J].Journal of Jilin University: Sci Ed,2007,45(4):572-576. |
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| Authors: | PAN Hong-jun SUN Ji-gui |
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| Institution: | 1. College of Computer Science and Technology, Key Laboratory of Symbolic Computation and \=Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China;2. Department of Computer Science, Tonghua Normal College, Tonghua 134002, Jilin Province, China |
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| Abstract: | Fuzzy class can be obtained via fuzzy relevance degrees approach. The relationships among the attributes can be described by fuzzy rules enclosed in the fuzzy class. And the membership functions, which are used to calculate the membership degree of subclass and super-class, and the membership degree of object and class, are defined according to fuzzy relevance degrees and fuzzy range. Thereby, the problem of imprecise and uncertain information acquirement can be settled. As a result, this approach can be applied to modeling the imprecise requirement. |
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| Keywords: | fuzzy relevance degrees fuzzy class imprecise requirement |
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