Fuzzy decision making in testing hypotheses: An introduction to the packages ``FPV" and ``Fuzzy.p.value" with practical examples

نویسندگان
Parchami, A. ID 1

1 Department of Statistics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran

doi
10.22111/ijfs.2020.5220
چکیده

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.

کلیدواژه‌ها
R package, testing fuzzy hypotheses, fuzzy data, fuzzy significance level, fuzzy $ p $-value, extension principle