Document Type: Research Paper
Department of Statistics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran
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.