首页|Investigators from Shanghai University Report New Data on Robotics (The Fmea Model Based On Lopcow-aras Methods With Interval-valued Fermatean Fuzzy Information for Risk Assessment of R&d Projects In Industrial Robot Offline Programming Systems)
Investigators from Shanghai University Report New Data on Robotics (The Fmea Model Based On Lopcow-aras Methods With Interval-valued Fermatean Fuzzy Information for Risk Assessment of R&d Projects In Industrial Robot Offline Programming Systems)
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NETL
NSTL
Springer Nature
Investigators publish new report on Robotics. According to news reporting originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Failure mode and effect analysis (FMEA) is a reliability analysis and risk management technique used to analyze the potential causes of system failure modes and their impact on system performance and has been used in many fields. However, the traditional FMEA model often ignores the weight of risk factors and their internal relationship in an uncertain setting.” Funders for this research include National Natural Science Foundation of China (NSFC), Ministry of Education Humanities and Social Sciences Research Planning Fund Project.
ShanghaiPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRisk and PreventionRobotRoboticsShanghai University
NETL
NSTL
Springer Nature
