定性比较分析
模糊逻辑
计算机科学
一套
实证研究
模糊集
集合(抽象数据类型)
机器学习
数据挖掘
人工智能
数学
程序设计语言
统计
历史
考古
作者
Kyle C. Longest,Stephen Vaisey
出处
期刊:Stata Journal
[SAGE Publishing]
日期:2008-04-01
卷期号:8 (1): 79-104
被引量:323
标识
DOI:10.1177/1536867x0800800106
摘要
Qualitative comparative analysis (QCA) is an increasingly popular analytic strategy, with applications to numerous empirical fields. This article briefly discusses the substantive motivation and technical details of qca, as well as fuzzy-set qca, followed by an in-depth discussion of how the new program fuzzy performs these techniques in Stata. An empirical example is presented that demonstrates the full suite of tools contained within fuzzy, including creating configurations, performing a series of statistical tests of the configurations, and reducing the identified configurations.
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