Contribution to development of risk analysis methods by application of artificial intelligence techniques-Reference-Cited by-同舟云学术

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Contribution to development of risk analysis methods by application of artificial intelligence techniques

Published:2020-07-27 Issue:7 Volume:36 Page:2268-2284
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Qual. Reliab. Engng. Int.

Author:

Stanojević Darko¹^ORCID,Ćirović Velimir²^ORCID

Affiliation:

1. Faculty of Mechanical Engineering University of Belgrade Kraljice Marije 16 Belgrade Serbia

2. Public Enterprise Roads of Serbia Bulevar kralja Aleksandra 282 Belgrade Serbia

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qre.2695

Reference30 articles.

1. Proactive tire maintenance

2. A Failure Mode Effect and Criticality Analysis of Conventional Milling Machine Using Fuzzy Logic: Case Study of RCM

3. YangYuan‐Jian PengWeiwen ZhouHang LiuYu ZhuShunpeng HuangHong‐Zhong. "Application of beta factor method for reliability evaluation of EHSV" International Conference on Quality Reliability Risk Maintenance and Safety Engineering (QR2MSE) 2013;

4. Risk evaluation in failure mode and effects analysis with extended VIKOR method under fuzzy environment

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