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

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PARCHAMI A.

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Journal: Iranian Journal of Fuzzy Systems Year:2020 | Volume:17 | Issue:2 Page(s): 67-77

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Information Journal Paper

Title

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

Author(s)

PARCHAMI A. | Issue Writer Certificate

Keywords

R packageQ2

testing fuzzy hypothesesQ2

fuzzy dataQ2

fuzzy significance levelQ2

fuzzy p-valueQ2

extension principleQ2

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.

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APA: Copy

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. SID. https://sid.ir/paper/376717/en

Vancouver: Copy

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[Internet]. 2020;17(2 ):67-77. Available from: https://sid.ir/paper/376717/en

IEEE: Copy

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, vol. 17, no. 2 , pp. 67–77, 2020, [Online]. Available: https://sid.ir/paper/376717/en

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