| نویسندگان | Mohammad Ghasem Akbari |
| نشریه | Soft Computing |
| شماره صفحات | 5905-5911 |
| شماره سریال | 14 |
| شماره مجلد | 23 |
| نوع مقاله | Full Paper |
| تاریخ انتشار | 2019 |
| رتبه نشریه | ISI |
| نوع نشریه | چاپی |
| کشور محل چاپ | بلژیک |
| نمایه نشریه | JCR،Scopus |
| کلید واژه ها | Intuitionistic fuzzy hypothesis Type, I error Type, II error Power of test Test function |
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چکیده مقاله
The present work aims to extend the classical Neyman–Pearson lemma based on a random sample of exact observations to test intuitionistic fuzzy hypotheses. In this approach, we extend the concepts of type-I error, type-II and power of test. Some applied examples are provided to illustrate the proposed method. In addition, the proposed method is examined to be compared with an existing method.