Possibility and evidence theory based design optimization: A survey

doi:10.1109/FSKD.2010.5569678

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	Possibility and evidence theory based design optimization: A survey
	Liang, Haofeng
	2010
关键词	Integrated control Reviews Surveys Uncertainty analysis Computational development Design optimization Epistemic uncertainties Evidence theories Large-scale and complex systems Possibility theory Possibility-based design optimizations Probabilistic approaches
卷号	1
DOI	10.1109/FSKD.2010.5569678
页码	264-268
英文摘要	An annotated survey of approaches to design optimization based on possibility theory and evidence theory is presented and prominent characteristics are described in this paper, especially addressing epistemic uncertainty for large-scale and complex systems when statistical data is scarce or incomplete. We first analyze the uncertainties encountered in design and the limitations of probabilistic approach. Then possibility-based design optimization (PBDO), evidence-based design optimization (EBDO) and their integrated approaches are comparatively investigated respectively, form the viewpoints of computational development and performance improvement. After that, this paper discusses the fusion technologies and an example of integrated approach in reliability to reveal the qualitative value and efficiency. In the end, technical difficulties, application areas and future directions are summarized. ©2010 IEEE.
会议录	Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010
会议录出版者	IEEE Computer Society
语种	英语
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/116163]
专题	兰州理工大学
作者单位	School of Mechatronics Engineering, Lanzhou University of Technology, Lanzhou, China
推荐引用方式 GB/T 7714	Liang, Haofeng. Possibility and evidence theory based design optimization: A survey[C]. 见:.