摘要
专家信息是小子样条件下装备可靠性试验评定中验前信息的重要来源。将专家信息的提供过程分为专家信息的描述、收集、转化、融合等4个步骤,将专家信息的描述划分为3类(统计、模糊和其它方式)共9种描述形式,并分别就每一种描述形式给出了转化为Bayes验前分布的方法。
Expert information is an important source for reliability test and evaluation of weapon systems under small sample size circumstance. In this paper, the process for elicitation of expert information is divided into four steps, i.e. description, collection, transformation and fusion. The description of expert information are classified into 3 categories （statistical, fuzzy and other） in totally 9 forms. Approaches for transforming each of the description forms into Bayesian prior distribution are given.
出处
《电子产品可靠性与环境试验》
2007年第5期41-47,共7页
Electronic Product Reliability and Environmental Testing
基金
国家自然科学基金项目(70571083)资助
关键词
可靠性
试验评定
专家信息
描述
转化
reliability
test and evaluation
expert information
description
transformation
