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.
Parchami, A. (2020). Fuzzy decision making in testing hypotheses: An introduction to the packages ``FPV" and ``Fuzzy.p.value" with practical examples. Iranian Journal of Fuzzy Systems, 17(2), 67-77. doi: 10.22111/ijfs.2020.5220
MLA
A. Parchami. "Fuzzy decision making in testing hypotheses: An introduction to the packages ``FPV" and ``Fuzzy.p.value" with practical examples". Iranian Journal of Fuzzy Systems, 17, 2, 2020, 67-77. doi: 10.22111/ijfs.2020.5220
HARVARD
Parchami, A. (2020). 'Fuzzy decision making in testing hypotheses: An introduction to the packages ``FPV" and ``Fuzzy.p.value" with practical examples', Iranian Journal of Fuzzy Systems, 17(2), pp. 67-77. doi: 10.22111/ijfs.2020.5220
VANCOUVER
Parchami, A. Fuzzy decision making in testing hypotheses: An introduction to the packages ``FPV" and ``Fuzzy.p.value" with practical examples. Iranian Journal of Fuzzy Systems, 2020; 17(2): 67-77. doi: 10.22111/ijfs.2020.5220
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