Work

Importance identification for fault trees based on possibilistic information measurements

Year: 2013

Type: article

Source: Journal of Intelligent & Fuzzy Systems

DOI: 10.3233/ifs-120705

Authors: Li-Ping He, Hong-Zhong Huang, Yu Pang, Yanfeng Li, Yu Liu

Institution: University of Electronic Science and Technology of China

Language: English

Topic: Risk and Safety Analysis

Subfield: Safety, Risk, Reliability and Quality

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities

OpenAlex ID: W1501031599

FWCI: 2.519

Cites: 41

Cited by: 6

Related to: 10