| 基于模糊集贴近度的文本信息分类器分辨率改进算法研究 |
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| 引用本文： | 李子叶,王亚刚,郭菊娥,席酉民.基于模糊集贴近度的文本信息分类器分辨率改进算法研究[J].管理工程学报,2009,23(1):13-18. |
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| 作者姓名： | 李子叶 王亚刚 郭菊娥 席酉民 |
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| 作者单位： | 西安交通大学管理学院中国管理问题研究中心,陕西西安,710049 |
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| 基金项目： | 国家自然科学基金，国家自然科学基金优秀创新研究群体项目，国家自然科学基金雅砻江水电开发联合研究基金重点项目 |
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| 摘 要： | 在利用分类器对文奉信息进行分类的实践中,,分辨率成为决定分类效果好坏的重要性能指标.模糊集问的贴近度作为一种直观有效的分类准则被广泛应用,但实际应用表明,现有模糊集贴近度计算模型对文本信息的区分度随模糊集中元素数量的增多而骤减.针对这一问题,本文构建了新的模糊集贴近度计算模型并证明了其在抑制不稳定部分、增强稳定性方面的效果.算例表明本文所构建的计算模型有效提高了分类器的分辨率.
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| 关 键 词： | 文本信息分类 模糊集 贴近度 分辨率 |
Study on Improvement of Text Classification Resolution based on Close Degree of Fuzzy Sets |
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| LI Zi-ye,WANG Ya-gang,GUO Jue,XI You-min.Study on Improvement of Text Classification Resolution based on Close Degree of Fuzzy Sets[J].Journal of Industrial Engineering and Engineering Management,2009,23(1):13-18. |
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| Authors: | LI Zi-ye WANG Ya-gang GUO Jue XI You-min |
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| Institution: | School of Management;Xi'an Jiaotong University;Xi'an 710049;China |
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| Abstract: | In the practice of text classification,resolution is a very important performance index which determines the effect of classification.Close degree of fuzzy sets is used a lot as an intuitionistic and effective rule of classification.However,practice shows us that,the distinguishing of contextual data is getting worse and worse when the number of element in fuzzy sets grows.Aiming at solving this problem,we establish a new calculation model of fuzzy set close degree,and prove its function in controlling inst... |
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| Keywords: | contextual data fuzzy set close degree resolution |
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