On Two-Dimensional Fuzzy Random Data as Vague Perceptions of Crisp Phenomena
On Two-Dimensional Fuzzy Random Data as Vague Perceptions of Crisp Phenomena
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发表时间：
2017
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通讯作者：
T. Fukuda
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作者：
T. Fukuda
本文数值地研究了一类二维基本模糊随机集（简称EFRSs），它是作者[1]提出的作为清晰非随机现象的模糊随机感知模型的一类情形。首先，有关的基本结果与二维EFRSs作为模糊的反复无常的看法脆现象进行审查。期望的二维EFRS，他们的估计，和期望和他们的估计之间的距离也简要回顾。最后，通过仿真研究，对两类二维EFRS的期望值及其估计误差进行了数值检验。
In this paper, the author investigates numerically a class of two-dimensional elementary fuzzy random sets(abbreviated as EFRSs), which is one case of those proposed by the author[1] as models of vague capricious perceptions of crisp non-random phenomena. First, the basic results concerned with two-dimensional EFRSs as vague capricious perceptions of crisp phenomena are reviewed. Expectations of two-dimensional EFRSs, their estimators, and distances between expectations and their estimators are also reviewed briefly. Finally, estimates for expectations of two-type of twodimensional EFRSs and their estimation errors are numerically examined by simulation studies.