A Fuzzy Logic Approach to Test Statistical Hypothesis on Means

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.