เปรียบเทียบวิธี

	การวิเคราะห์ความน่าเชื่อถือแบบลูกผสม	ระเบียบวิธีความน่าเชื่อถืออันดับหนึ่ง (First-Order Reliability Method - FORM)
สาขาวิชา	การออกแบบการทดลอง	วิศวกรรมความเชื่อถือได้
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1990s–2000s (consolidated formulation ~2000–2006)	1969
ผู้ริเริ่ม	Xiaoping Du, Achintya Haldar, and others; synthesized across structural and mechanical engineering communities	Allin Cornell
ประเภท	Quantitative reliability / uncertainty analysis method	Reliability analysis method
แหล่งต้นตำรับ	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.	Cornell, C. A. (1969). A probability-based structural code. Journal of the American Concrete Institute, 66(12), 974-985.
ชื่อเรียกอื่น	HRA, hybrid uncertainty reliability, combined reliability analysis, probabilistic-possibilistic reliability analysis	FORM, First-order second-moment method
ที่เกี่ยวข้อง	4	4
สรุป	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.	The First-Order Reliability Method (FORM) is a probabilistic technique for estimating the probability of structural failure given uncertain input parameters. Developed by Allin Cornell in 1969 and refined by Hasofer and Lind in 1974, FORM provides a computationally efficient approximation to the true failure probability by linearizing the limit-state function at the most probable failure point. It has become the cornerstone of modern structural reliability analysis and risk-based design.