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基于证据推理的相邻碎片判定方法

孙家泽

计算机应用研究2017,Vol.34Issue(2):598-602,5.
计算机应用研究2017,Vol.34Issue(2):598-602,5.DOI:10.3969/j.issn.1001-3695.2017.02.062

基于证据推理的相邻碎片判定方法

Judgment method of adjacent fragments based on evidential reasoning

孙家泽1

作者信息

  • 1. 西安邮电大学计算机学院,西安710121
  • 折叠

摘要

Abstract

Aiming at the uncertain fuzzy error matching problem in the feature information of cultural relic's fragments,this paper proposed a multi feature matching recognition method based on evidential reasoning and interval number.Firstly it determined the similarity evaluation model with multi feature based on D-S evidence theory.Then it generated the basic probability assignment by the interval number method from the historical sample data.And it smoothly converted the weight optimization problem to an optimization problem by the maximum entropy function method.It introduced the hybrid social cognitive optimization algorithm to solve the optimal weights of evidence,and completed the similarity judgment of adjacent fragments by D-S evidence theory.The experimental results show the proposed method is effective.

关键词

D-S证据理论/区间数/极大熵函数

Key words

D-S evidence theory/interval number/maximum entropy function

分类

信息技术与安全科学

引用本文复制引用

孙家泽..基于证据推理的相邻碎片判定方法[J].计算机应用研究,2017,34(2):598-602,5.

基金项目

国家自然科学基金资助项目(61203311,611721701) (61203311,611721701)

陕西省工业攻关项目(2016GY-089) (2016GY-089)

西安市科技计划资助项目(CXY1516(4)) (CXY1516(4)

陕西省教育厅自然科学基金资助项目(15JK1672) (15JK1672)

计算机应用研究

OA北大核心CSCDCSTPCD

1001-3695

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