fuzzy hypothesis
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2022 ◽  
pp. 137-192
Author(s):  
Gholamreza Hesamian


Algorithms ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 185
Author(s):  
Nikos Mylonas ◽  
Basil Papadopoulos

In this paper, we develop fuzzy, possibilistic hypothesis tests for testing crisp hypotheses for a distribution parameter from crisp data. In these tests, fuzzy statistics are used, which are produced by the possibility distribution of the estimated parameter, constructed by the known from crisp statistics confidence intervals. The results of these tests are in much better agreement with crisp statistics than the ones produced by the respective tests of a popular book on fuzzy statistics, which uses fuzzy critical values. We also present an error that we found in the implementation of the unbiased fuzzy estimator of the variance in this book, due to a poor interpretation of its mathematical content, which leads to disagreement of some fuzzy hypotheses tests with their respective crisp ones. Implementing correctly this estimator, we produce test statistics that achieve results in hypotheses tests that are in much better agreement with the results of the respective crisp ones.



2021 ◽  
pp. 107331
Author(s):  
Nataliya Chukhrova ◽  
Arne Johannssen


2020 ◽  
Vol 387 ◽  
pp. 127-157 ◽  
Author(s):  
Nataliya Chukhrova ◽  
Arne Johannssen


2019 ◽  
Vol 37 (5) ◽  
pp. 6545-6555 ◽  
Author(s):  
Elif Haktanır ◽  
Cengiz Kahraman


2019 ◽  
Vol 58 (10) ◽  
pp. 3110-3125 ◽  
Author(s):  
Kuen-Suan Chen ◽  
Tsang-Chuan Chang


2019 ◽  
Vol 77 ◽  
pp. 218-224 ◽  
Author(s):  
Abdolreza Mohammadi ◽  
S. Hamed Javadi ◽  
Domenico Ciuonzo


2017 ◽  
pp. 157
Author(s):  
رابحة سليم كريم
Keyword(s):  


2016 ◽  
Vol 20 (12) ◽  
pp. 2542-2545 ◽  
Author(s):  
Alimohammad Montazeri ◽  
Javad Haddadnia ◽  
Seyed Hamid Safavi


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