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工程系统的分数生存功能熵

Fractional Survival Functional Entropy of Engineering Systems.

作者信息

Alomani Ghadah, Kayid Mohamed

机构信息

Department of Mathematical Sciences, College of Science, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.

Department of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia.

出版信息

Entropy (Basel). 2022 Sep 10;24(9):1275. doi: 10.3390/e24091275.

Abstract

An alternate measure of uncertainty, termed the fractional generalized cumulative residual entropy, has been introduced in the literature. In this paper, we first investigate some variability properties this measure has and then establish its connection to other dispersion measures. Moreover, we prove under sufficient conditions that this measure preserves the location-independent riskier order. We then elaborate on the fractional survival functional entropy of coherent and mixed systems' lifetime in the case that the component lifetimes are dependent and they have identical distributions. Finally, we give some bounds and illustrate the usefulness of the given bounds.

摘要

文献中引入了一种不确定性的替代度量,称为分数广义累积剩余熵。在本文中,我们首先研究这种度量所具有的一些变异性性质,然后建立它与其他离散度量的联系。此外,我们在充分条件下证明这种度量保持与位置无关的风险更高的顺序。接着,在部件寿命相关且具有相同分布的情况下,我们详细阐述了相干和混合系统寿命的分数生存泛函熵。最后,我们给出一些界并说明了所给界的有用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/212d/9497973/d6308ad91a9e/entropy-24-01275-g001a.jpg

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本文引用的文献

1
Stochastic Properties of Fractional Generalized Cumulative Residual Entropy and Its Extensions.
Entropy (Basel). 2022 Jul 28;24(8):1041. doi: 10.3390/e24081041.
2
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