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September 30, 2025EntropyOpen Access

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

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An analytical framework utilizes cumulative residual Tsallis entropy to enhance uncertainty quantification and reliability in complex systems.

Cumulative residual Tsallis entropy provides valuable insights for reliability in systems with continuous lifetime distributions.
Analytical bounds established through this framework serve as practical tools for assessing uncertainty in large-scale systems.
Monte Carlo simulations confirm the statistical properties of the proposed nonparametric CRTE-based test for dispersive ordering.
Real lifetime data illustrates the effectiveness of CRTE as a probabilistic entropy measure for assessing reliability.

Alarfaj et al. (2025) studied this question.

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An analytical framework utilizes cumulative residual Tsallis entropy to enhance uncertainty quantification and reliability in complex systems.