Testing Fuzzy Hypothesis

Document Type : Original Article

Authors

1 University of Sistan and Baluchestan

2 University of Birjand

Abstract

Testing hypotheses plays an important role in statistical inferences. Classic methods in
Hypothesis testing based on assumptions such as accuracy of observations, accuracy of test hypotheses,
The accuracy of the parameter is unknown, etc., but in the real world sometimes these assumptions are established
are not. Fuzzy set theory and intuitive fuzzy set theory, suitable ways
To formulate and analyze such concepts and topics are inaccurate.
In this paper, after defining the intuitive fuzzy random variable based on α-doubt and fuzzy hypotheses
Intuitive We present a method for testing a classical random sample and intuitive fuzzy hypothesis.

Testing hypotheses plays an important role in statistical inferences. Classic methods in
Hypothesis testing based on assumptions such as accuracy of observations, accuracy of test hypotheses,
The accuracy of the parameter is unknown, etc., but in the real world sometimes these assumptions are established
are not. Fuzzy set theory and intuitive fuzzy set theory, suitable ways
To formulate and analyze such concepts and topics are inaccurate.
In this paper, after defining the intuitive fuzzy random variable based on α-doubt and fuzzy hypotheses
Intuitive We present a method for testing a classical random sample and intuitive fuzzy hypothesis.

Keywords

References

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Fuzzy Systems and its Applications
Volume 5, Issue 2 - Serial Number 11
January 2023
Pages 271-292

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History

  • Receive Date: 20 February 2022
  • Revise Date: 15 August 2022
  • Accept Date: 06 December 2022

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