A Fuzzy Logic Approach to Test Statistical Hypothesis on Means

被引：0
|
作者：
Figueroa Garcia, Juan Carlos [1 ]
Soriano Mendez, Jose Jairo [1 ]
机构：
[1] Univ Distrital Francisco Jose Caldas, Bogota, Colombia
来源：
ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS, PROCEEDINGS: WITH ASPECTS OF ARTIFICIAL INTELLIGENCE | 2008年 / 5227卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a generalized Type-1 Fuzzy Logic engine to test statistical hypothesis on means by using standardized data samples to simplify the rule base. This inference engine attempts to test hypothesis on imprecise means, being an alternative to reject or accept the hypothesis via a fulfillment degree. To do so, an application example is provided and compared against classical tests to verify their results.
引用
收藏
页码：316 / 325
页数：10
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