A novel model for the quantitative evaluation of green port development–A case study of major ports in China
C Wan, D Zhang, X Yan, Z Yang - Transportation Research Part D …, 2018 - Elsevier
Environmental problems that seriously affect both natural systems and social development
of human beings have drawn extensive attention from governing authorities all around the …
of human beings have drawn extensive attention from governing authorities all around the …
Process system failure evaluation method based on a Noisy-OR gate intuitionistic fuzzy Bayesian network in an uncertain environment
Y Jianxing, W Shibo, Y Yang, C Haicheng… - Process Safety and …, 2021 - Elsevier
In the system reliability evaluation of the process industries, it is sometimes difficult to get
precise and sufficient failure data of system components utilized to calculate the failure …
precise and sufficient failure data of system components utilized to calculate the failure …
System failure probability evaluation using fault tree analysis and expert opinions in intuitionistic fuzzy environment
In quantitative fault tree analysis of a system, exact failure probability values of components
are utilized to calculate the failure probability of the system. However, in many real world …
are utilized to calculate the failure probability of the system. However, in many real world …
Applications of fuzzy faulty tree analysis and expert elicitation for evaluation of risks in LPG refuelling station
S Rajakarunakaran, AM Kumar, VA Prabhu - Journal of Loss Prevention in …, 2015 - Elsevier
A method is presented for analysis of reliability of complex engineering systems using
information from fault tree analysis and uncertainty/imprecision of data. Fuzzy logic is a …
information from fault tree analysis and uncertainty/imprecision of data. Fuzzy logic is a …
Fuzzy probability on reliability study of nuclear power plant probabilistic safety assessment: A review
JH Purba - Progress in Nuclear Energy, 2014 - Elsevier
Fault tree analysis (FTA) is a graphical model which has been widely used as a deductive
tool for nuclear power plant (NPP) probabilistic safety assessment (PSA). The conventional …
tool for nuclear power plant (NPP) probabilistic safety assessment (PSA). The conventional …
A novel belief rule base representation, generation and its inference methodology
Advancement and application of rule-based systems have always been a key research area
in computer-aided support for human decision making due to the fact that rule base is one of …
in computer-aided support for human decision making due to the fact that rule base is one of …
Use of fuzzy rule-based evidential reasoning approach in the navigational risk assessment of inland waterway transportation systems
A novel approach incorporating a fuzzy rule base technique and an Evidential Reasoning
(ER) algorithm is applied to conduct the navigational risk assessment of an Inland Waterway …
(ER) algorithm is applied to conduct the navigational risk assessment of an Inland Waterway …
A fuzzy reliability assessment of basic events of fault trees through qualitative data processing
Probabilistic approaches are common in the analysis of reliability of complex engineering
systems. However, they require quantitative historical failure data for determining reliability …
systems. However, they require quantitative historical failure data for determining reliability …
An introduction and survey of the evidential reasoning approach for multiple criteria decision analysis
DL Xu - Annals of Operations Research, 2012 - Springer
Abstract The Evidential Reasoning (ER) approach is a general approach for analyzing
multiple criteria decision problems under various types of uncertainty using a unified …
multiple criteria decision problems under various types of uncertainty using a unified …
Inference analysis and adaptive training for belief rule based systems
Belief rule base (BRB) systems are an extension of traditional IF-THEN rule based systems
and capable of capturing complicated nonlinear causal relationships between antecedent …
and capable of capturing complicated nonlinear causal relationships between antecedent …