Multisource Borehole Data Fusion for Stochastic Inversion of Seabed Stratigraphic Architecture Based on the Fuzzy Markov Chain

dc.contributor.author	Zhang, Yan
dc.contributor.author	Pan, Fengqian
dc.contributor.author	Zhao, Kai
dc.contributor.author	Zhang, Zhengyang
dc.contributor.author	Chen, Rundi
dc.contributor.author	Chen, Jiaxin
dc.contributor.author	Jiang, Jiawei
dc.contributor.author	Chen, Guoxing
dc.date.accessioned	2026-08-20T21:14:48Z
dc.date.available	2026-08-20T21:14:48Z
dc.date.copyright	2026/01/31
dc.date.issued	2026
dc.identifier.other	AJRUA6.RUENG-1667.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4314175
dc.description.abstract	AbstractSignificant uncertainty in the traditional geological mapping of seabed stratigraphy exists due to the natural heterogeneity of marine sedimentary soils and the limited number of boreholes. In this study, the Gaussian membership function was used ...
dc.publisher	American Society of Civil Engineers
dc.title	Multisource Borehole Data Fusion for Stochastic Inversion of Seabed Stratigraphic Architecture Based on the Fuzzy Markov Chain
dc.type	Journal Article
dc.journal.volume	12
dc.journal.issue	2
dc.journal.title	ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
dc.identifier.doi	10.1061/AJRUA6.RUENG-1667
dc.journal.fristpage	04026006-1
dc.journal.lastpage	04026006-15
dc.page	15
dc.tree	ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2026:;Volume ( 012 ):;issue: 002
dc.contenttype	Fulltext