Title of article :
Fuzzy decision making in testing hypotheses: An introduction to the packages FPV" and Fuzzy.p.value" with practical examples
Author/Authors :
Parchami, A. Department of Statistics - Faculty of Mathematics and Computer - Shahid Bahonar University of Kerman, Kerman, Iran
Abstract :
This paper reviews and compares two R packages “FPV” and “Fuzzy.p.value”. These packages are designed for
testing hypotheses in a fuzzy environment using a fuzzy p-value based approach. In fact, the packages “FPV” and
“Fuzzy.p.value” propose some useful functions for testing hypotheses when the data / hypotheses are fuzzy rather than
crisp. The proposed methods and functions have been presented together with illustrative practical examples.
Keywords :
R package , testing fuzzy hypotheses , fuzzy data , fuzzy significance level , fuzzy p-value , extension principle
Journal title :
Iranian Journal of Fuzzy Systems (IJFS)
