TINJAUAN KEPUTUSAN HIPOTESA FUZZY BERBASIS P-VALUE FUZZY (STUDI KASUS DATA COVID-19 DI NUSA TENGGARA BARAT)
Keywords:
covid-19, hipotesa fuzzy, konsep fuzzy, p-value fuzzy
Abstract
Riset ini membahas aplikasi teori fuzzy dalam bidang statistik yakni hipotesa yang memiliki pernyataan fuzzy. Statistik uji yang digunakan untuk menaganalisa data adalah pvalue fuzzy yang dibandingkan dengan tingkat signifikansi fuzzy. Aplikasi data diterapkan pada data covid-19 di Nusa tenggara Barat. Kesimpulan dari uji hipotesa fuzzy memberikan keputusan yang lebih rasional daripada uji hipotesa klasik. Jika hipotesa nol fuzzy tidak berlaku pada data sampel, maka hipotesa nol fuzzy ditolak sampai derajat tertentu;
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References
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18(1), 27-36, (2010).
[2] H. Nasution, “Implementasi Logika Fuzzy pada Sistem Kecerdasan Buatan,” Jurnal
ELKHA, 4(2), 4-7, (2012).
[3] H.R. Lin, B.Y. Cao, and Y. Liao, Fuzzy Statistics and Fuzzy Probability. In: Fuzzy
Sets Theory Preliminary. Springer, (2018).
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Metrika, 59, 21–29, (2004).
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Fuzzy Sets Syst, 123, 39–48, (2001).
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Hypotheses with Crisp Data,” Stat Papers, 51, 209–226, (2010).
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Data,” Lecture Notes in Computer Science, 1711, 221-229, (1999).
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Published
2022-04-20
How to Cite
Wahidaturrahmi, W. (2022). TINJAUAN KEPUTUSAN HIPOTESA FUZZY BERBASIS P-VALUE FUZZY (STUDI KASUS DATA COVID-19 DI NUSA TENGGARA BARAT). Pattimura Proceeding: Conference of Science and Technology, 2(1), 397-404. Retrieved from https://ojs3.unpatti.ac.id/index.php/pcst/article/view/5603
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