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一种聚类模式下基于密度的改进KNN算法
  • ISSN号：1000-7180
  • 期刊名称：《微电子学与计算机》
  • 时间：0
  • 分类：O159[理学—数学;理学—基础数学] TP18[自动化与计算机技术—控制科学与工程;自动化与计算机技术—控制理论与控制工程]
  • 作者机构：[1]School of Economics and Management, Southeast University, Nanjing, Jiangsu 211189, China, [2]Institute of Communications Engineering, PLA University of Science and Technology, Nanjing Jiangsu 210007, China, [3]Institute of Sciences, PLA University of Science and Technology, Nanjing, Jiangsu 210007, China
  • 相关基金：supported in part by the National Natural Science Foundation of China （No.71071161）; the National Science Fund for Distinguished Young Scholars of China （No.70625005）
作者： 刘海峰[1], 庞秀梅[1], 张学仁[1]
关键词： 模糊信息, 决策程序, 区间值, 直觉, 多准则, 聚合技术, 输入参数, 模糊环境, Bonferroni mean, interval-valued intuitionistic fuzzy number, multi-criteria decision making, interval-valued intuitionistic fuzzy Bonferroni mean, weighted interval-valued intuitionistic fuzzy Bonferroni mean
中文摘要：

由 Bonferroni 平均数的想法启发了，在我们开发的这份报纸一种聚集技术把珍视间隔的 intuitionistic 称为为聚集珍视间隔的 intuitionistic 吝啬的模糊 Bonferroni 模糊信息。我们学习它的性质并且讨论它的特殊情况。为输入参数有不同重要性的状况，我们然后定义加权的珍视间隔的 intuitionistic 模糊 Bonferroni 平均数，我们在珍视间隔的 intuitionistic 下面为多标准决策基于给一个过程模糊环境。

英文摘要：

Inspired by the idea of Bonferroni mean,in this paper we develop an aggregation technique called the interval-valued intuitionistic fuzzy Bonferroni mean for aggregating interval-valued intuitionistic fuzzy information.We study its properties and discuss its special cases.For the situations where the input arguments have different importance,we then define a weighted interval-valued intuitionistic fuzzy Bonferroni mean,based on which we give a procedure for multi-criteria decision making under interval-valued intuitionistic fuzzy environments.

同期刊论文项目
直觉模糊聚类理论及其应用
期刊论文 62 著作 2
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文本分类中基于K-means的类偏斜KNN样本剪裁
一种基于模糊加权的改进文本聚类方法
一种基于类别分布信息的文本特征选择模型
复合打击下的火力分配方案评估
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期刊信息
  • 《微电子学与计算机》
  • 中国科技核心期刊
  • 主管单位:中国航天科技集团公司
  • 主办单位:中国航天科技集团公司第九研究院第七七一研究所
  • 主编：李新龙
  • 地址：西安市雁塔区太白南路198号
  • 邮编：710065
  • 邮箱：mc771@163.com
  • 电话：029-82262687
  • 国际标准刊号：ISSN：1000-7180
  • 国内统一刊号：ISSN：61-1123/TN
  • 邮发代号:52-16
  • 获奖情况:
  • 航天优秀期刊,陕西省优秀期刊一等奖
  • 国内外数据库收录:
  • 荷兰文摘与引文数据库,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊（2004版）,中国北大核心期刊（2008版）,中国北大核心期刊（2011版）,中国北大核心期刊（2014版）,中国北大核心期刊（2000版）
  • 被引量:17909