Salīdzināt metodes

	Hibridā analīze uzticamībai	Analīze jutīgumam
Nozare	Eksperimentu plānošana	Lēmumu pieņemšana
Saime	Process / pipeline	MCDM
Izcelsmes gads	1990s–2000s (consolidated formulation ~2000–2006)	2004
Autors	Xiaoping Du, Achintya Haldar, and others; synthesized across structural and mechanical engineering communities	Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M.
Tips	Quantitative reliability / uncertainty analysis method	Robustness wrapper — parameter / weight perturbation sensitivity indices
Pirmavots	Du, X., Sudjianto, A., & Huang, B. (2006). Reliability-Based Design With the Mixture of Random and Interval Variables. Journal of Mechanical Design, 127(6), 1068–1076.	Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. (2004). Sensitivity Analysis in Practice. Wiley, Chichester
Citi nosaukumi	HRA, hybrid uncertainty reliability, combined reliability analysis, probabilistic-possibilistic reliability analysis	—
Saistītās	4	0
Kopsavilkums	Hybrid Reliability Analysis (HRA) quantifies the probability that an engineering system will perform its intended function when uncertain inputs are of two fundamentally different kinds: aleatory uncertainties (natural randomness, modelled with probability distributions) and epistemic uncertainties (lack of knowledge, modelled with intervals or fuzzy sets). By treating both uncertainty types simultaneously rather than collapsing them into a single probabilistic framework, HRA produces more truthful reliability estimates in design, structural, and systems engineering problems.	SENSITIVITY-ANALYSIS (Sensitivity Analysis — Systematic assessment of output variation w.r.t. input perturbations) is a ranking multi-criteria decision-making (MCDM) method introduced by Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. in 2004. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.