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Fuzzy Cumulative Distribution Function and its Properties | ||
| Journal of Algorithms and Computation | ||
| دوره 52، شماره 2، اسفند 2020، صفحه 127-136 اصل مقاله (1.66 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/jac.2020.79267 | ||
| نویسندگان | ||
| Mehdi Shams* 1؛ Gholamreza Hesamian2 | ||
| 1Department of Mathematical Sciences, University of Kashan, Isfahan, Iran. | ||
| 2Department of Statistics, Payame Noor University, Tehran 19395-3697, Iran | ||
| چکیده | ||
| The statistical methods based on cumulative distribution function is a start point for many parametric or nonparametric statistical inferences. However, there are many practical problems that require dealing with observations/parameters that represent inherently imprecise. However, Hesamian and Taheri (2013) was extended a concept of fuzzy cumulative distribution function. Applying a common notion of fuzzy random variables, they extended a vague concept of fuzzy cumulative distribution function. However, the main properties of the proposed method has not yet been considered in fuzzy environment. This paper aims to extend the classical properties of the fuzzy cumulative distribution function in fuzzy environment. | ||
| کلیدواژه‌ها | ||
| Cumulative distribution function؛ fuzzy random variable؛ fuzzy parameter؛ ranking method؛ convergence؛ divergence to infinity | ||
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آمار تعداد مشاهده مقاله: 268 تعداد دریافت فایل اصل مقاله: 297 |
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