TY - JOUR ID - 79267 TI - Fuzzy Cumulative Distribution Function and its Properties JO - Journal of Algorithms and Computation JA - JAC LA - en SN - 2476-2776 AU - Shams, Mehdi AU - Hesamian, Gholamreza AD - Department of Mathematical Sciences, University of Kashan, Isfahan, Iran. AD - Department of Statistics, Payame Noor University, Tehran 19395-3697, Iran Y1 - 2020 PY - 2020 VL - 52 IS - 2 SP - 127 EP - 136 KW - Cumulative Distribution Function KW - Fuzzy random variable KW - fuzzy parameter KW - ranking method KW - convergence KW - divergence to infinity DO - 10.22059/jac.2020.79267 N2 - 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. UR - https://jac.ut.ac.ir/article_79267.html L1 - https://jac.ut.ac.ir/article_79267_82f43625d638278d11153074cd36964c.pdf ER -