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基于模糊不确定性加权的测试性专家经验信息预处理

张西山 陈钦碧 赵天宫 梁琪 赵美静 刘超

兵工自动化2017,Vol.36Issue(8):62-64,76,4.
兵工自动化2017,Vol.36Issue(8):62-64,76,4.DOI:10.7690/bgzdh.2017.08.015

基于模糊不确定性加权的测试性专家经验信息预处理

Testability Expert Experience Information Preprocessing Based on Fuzzy Uncertainty Weighting

张西山 1陈钦碧 2赵天宫 2梁琪 2赵美静 2刘超2

作者信息

  • 1. 军械技术研究所,石家庄 050003
  • 2. 中国酒泉卫星发射中心计量测试站,甘肃酒泉 735000
  • 折叠

摘要

Abstract

In order to solve the problem of expert judgment vagueness and uncertainty, a method to preprocess expert experience information based on fuzzy uncertainly weighting is proposed. Firstly, credibility was introduced into the trapezoidal fuzzy description of expert experience information. Then, uncertainly weighting was used to carry out expert experience information fusion, and get the testability prior estimates value. The research shows that the method is correctly and effectively, which can meet requirements of expert experience information preprocessing.

关键词

测试性/专家经验信息/可信度/模糊不确定性

Key words

testability/expert experience information/credibility/fuzzy uncertainty

分类

信息技术与安全科学

引用本文复制引用

张西山,陈钦碧,赵天宫,梁琪,赵美静,刘超..基于模糊不确定性加权的测试性专家经验信息预处理[J].兵工自动化,2017,36(8):62-64,76,4.

兵工自动化

OACSTPCD

1006-1576

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