A Fuzzy Logic Approach to Test Statistical Hypothesis on Means

Authors:
Juan Carlos Figueroa García;Jose Jairo Soriano Mendez
Affiliations:
Universidad Distrital Francisco José de Caldas, Bogotá, Colombia;Universidad Distrital Francisco José de Caldas, Bogotá, Colombia
Venue:
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Year:
2008

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Abstract

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.