Entropy-Based Uncertainty Quantification in Linear Consecutive k-out-of-n:G Systems via Cumulative Residual Tsallis Entropy

Quantifying uncertainty in complex systems is a central problem in reliability analysis and engineering applications. In this work, we develop an information-theoretic framework for analyzing linear consecutive k-out-of-n:G systems using the cumulative residual Tsallis entropy (CRTE). A general anal...

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Hlavní autoři:	Boshra Alarfaj, Mohamed Kayid, Mashael A. Alshehri
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-09-01
Edice:	Entropy
Témata:	information-theoretic reliability entropy-based uncertainty quantification cumulative residual Tsallis entropy consecutive k-out-of-n:G systems stochastic ordering dispersive ordering test
On-line přístup:	https://www.mdpi.com/1099-4300/27/10/1020
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