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AC和FKP融合算法在民族突发事件聚类分析中的应用
引用本文:云健,刘勇奎,陈华,于洪志.AC和FKP融合算法在民族突发事件聚类分析中的应用[J].华中科技大学学报(社会科学版),2009,23(1).
作者姓名:云健  刘勇奎  陈华  于洪志
作者单位:1. 上海师范大学,人文与传播学院,上海,200234
2. 大连民族学院计算机科学与工程学院,辽宁,大连,116600
3. 国家民族事务委员会信息中心,北京,10080
4. 西北民族大学,中国民族信息技术研究院,甘肃,兰州,730030
基金项目:国家少数民族事业规划的重点工程项目,国家民委信息化专项科研计划项目 
摘    要:近年来,我国民族突发事件的频发度及危害性均呈上升趋势.民族突发事件复杂程度高、涉及因素多、应急决策难度大,因此智能辅助决策非常必要.聚类分析是民族突发事件应急辅助决策的研究重点.目前,该项工作在我国尚处于起步阶段.针对FKP(Fuzzy K-Prototypes,模糊K原型)聚类算法存在易陷于局部最优解和对初始参数敏感的缺陷,提出了一种AC(Ant Colony,蚁群)和FKP融合的聚类算法.聚类分析结果表明:应用该算法能得出民族突发事件的发生规律,因此该算法可用于民族突发事件的应急智能辅助决策.以上工作为维护国家安全提供了智能化支持.

关 键 词:模糊K原型聚类算法  蚁群算法  混合属性数据  民族突发事件  聚类分析

Application of Fusion of Ant Colony and Fuzzy K-Prototypes Algorithm in Clustering Analysis of Emergency Related to Ethnic Groups
YUN Jian,LIU Yong-kui,CHEN Hua,YU Hong-zhi.Application of Fusion of Ant Colony and Fuzzy K-Prototypes Algorithm in Clustering Analysis of Emergency Related to Ethnic Groups[J].Journal of Huazhong University of Science and Technology(Social Science Edition),2009,23(1).
Authors:YUN Jian  LIU Yong-kui  CHEN Hua  YU Hong-zhi
Institution:1.College of Computer Science and Technology;Dalian Nationalities University;Dalian 116600;China;2.Information Center of State Ethnic Affairs Commission;Beijing 100800;3.College of Humanities and Communications;Shanghai Normal University;Shanghai 200234;4.Minorities Information Technology Institute;Northwest University for Nationalities;Lanzhou 730030;China
Abstract:In China,emergencies related to ethnic groups have increased in recent years.This poses many grave consequences to social life.These emergencies are highly complex and involve many factors,and it is hard to make emergency decisions.Therefore,it is necessary to employ aided intelligent decision-making system for these emergencies.However,present study remains in the preliminary phase in China.As the conventional Fuzzy K-Prototypes algorithm may limit itself to a local minimum and is sensitive to the values o...
Keywords:Fuzzy K-Prototypes clustering algorithm  ant colony algorithm  hybrid property data sets  emergency related to ethnic groups  clustering analysis  
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