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Z-fuzzy hypothesis testing in statistical decision making
Elif Haktanir,
Cengiz Kahraman
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Corresponding author for this work
Department of Industrial Engineering
Istanbul Technical University
Altinbas University
Research output
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Contribution to journal
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Article
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peer-review
15
Citations (Scopus)
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Keyphrases
Z-fuzzy number
100%
Hypothesis Testing
100%
Statistical Decision-making
100%
Fuzzy Hypothesis Testing
100%
Type-2 Fuzzy Sets
50%
Sensitivity Analysis
50%
Confidence Level
50%
Left-handed
50%
Intuitionistic Fuzzy Set
50%
Parameter Values
50%
Triangular Fuzzy number
50%
Illustrative Examples
50%
Testing Analysis
50%
Hesitant Fuzzy Set
50%
Spherical Fuzzy Sets
50%
Neutrosophic Set
50%
Fuzzy Technique
50%
Impreciseness
50%
Trapezoidal Fuzzy number
50%
Fuzzy Sets Type-2
50%
Reliability Function
50%
Right-sided
50%
Decision Tool
50%
Mathematics
Sample Data
100%
Statistical Hypothesis Testing
100%
Confidence Level
33%
Illustrative Example
33%
Hypothesis Test
33%
Decision Making Tool
33%