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模式识别的Fuzzy统计方法及应用

Fuzzy Statistic of Pattern Recognition and Appliance

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【作者】 陈东升张银鹤李宝珍

【Author】 CHEN Dong-sheng1, ZHANG Yin-he1, LI Bao-zhen2 (1. Dept. of Infor. And Computation Sci., Zhengzhou Inst. of Light Ind., Zhengzhou Henan 450002, China)(2. Scientific Research Division, Zhengzhou Inst. of Light Ind., Zhengzhou Henan 450002, China)

【机构】 郑州轻工业学院信息与计算科学系郑州轻工业学院科研处 河南郑州450002河南郑州450002河南郑州450002

【摘要】 运用模糊数学的概念和方法对具有模糊性的观测结果进行处理和识别 ,构成了模糊模式识别的基本内容 .利用 Fuzzy统计的方法建立了模式识别的数学模型 ,并编出模型的计算机程序 .按照科技部、教育部关于科研评价的“目标导向、分类实施、客观公正、注重实效”的要求 ,将上述程序应用于科研项目的评审中 ,克服了以往评审过程单一化、主观化的缺点 ,使评审客观、公正、合理 ,易于操作 .

【Abstract】 How to use fuzzy set theory to deal with vague observed data and to draw it out into recognition results is the main concern of fuzzy patter recognition. In this paper, we set up the mathematical model of pattern recognition by using fuzzy statistics. Moreover, we work out its computer programs. According to the demands: ″goals, classifiness, objectiveness, effectiveness″ which are made by Ministry of Science and Technology and Ministry of Education, we apply the programs to the evaluation of items of research. This method not only overcomes the weakness of simplification and subjectivity during the process of the evaluation before but makes evaluation objective, just and reasonable, which is more easily operated.

【基金】 河南省科技厅基金资助项目 ( 0 41 3 0 3 1 92 0 )
  • 【文献出处】 数学的实践与认识 ,Mathematics In Practice and Theory , 编辑部邮箱 ,2004年10期
  • 【分类号】C81
  • 【被引频次】3
  • 【下载频次】188
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