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. © 2008 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Figueroa García, J. C., & Soriano Mendez, J. J. (2008). A fuzzy logic approach to test statistical hypothesis on means. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5227 LNAI, pp. 316–325). https://doi.org/10.1007/978-3-540-85984-0_39
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
