| نویسندگان | Mohammad Ghasem Akbari |
| نشریه | Soft Computing |
| شماره صفحات | 3797-3807 |
| شماره سریال | 24 |
| شماره مجلد | 5 |
| نوع مقاله | Full Paper |
| تاریخ انتشار | 2020 |
| رتبه نشریه | ISI |
| نوع نشریه | چاپی |
| کشور محل چاپ | بلژیک |
| نمایه نشریه | JCR،Scopus |
| کلید واژه ها | Fuzzy random variables Convergence theorem Inequality α, Values |
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چکیده مقاله
In this paper, some essential stochastic inequalities and several convergence theorems were investigated for fuzzy random variables. The classical counterpart relationship between the proposed convergence theorems was also discussed in the fuzzy environment. The main advantage of the proposed method is its minimal requirements for such limit theorems and inequalities compared to the conventional methods used in the fuzzy environments. The previous methods mostly rely on the lower and upper bounds of the α -cuts of fuzzy random variables, while the proposed method utilizes a unified quantity called α -value.