Fuzzy decision making in testing hypotheses: An introduction to the packages ``FPV

	Fuzzy decision making in testing hypotheses: An introduction to the packages ``FPV" and ``Fuzzy.p.value" with practical examples
Iranian Journal of Fuzzy Systems
مقاله 7، دوره 17، شماره 2، خرداد و تیر 2020، صفحه 67-77 اصل مقاله (1.06 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22111/ijfs.2020.5220
نویسنده
A. Parchami^*
Department of Statistics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran
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

آمار تعداد مشاهده مقاله: 751 تعداد دریافت فایل اصل مقاله: 712

سامانه مدیریت نشریات علمی. طراحی و پیاده سازی از سیناوب

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