Using the Bayesian network relative risk model risk assessment process to evaluate management alternatives for the South River and upper Shenandoah River, Virginia

2016 ◽  
Vol 13 (1) ◽  
pp. 100-114 ◽  
Author(s):  
Annie F Johns ◽  
Scarlett E Graham ◽  
Meagan J Harris ◽  
April J Markiewicz ◽  
Jonah M Stinson ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Relative Risk ◽  
Bayesian Network ◽  
Risk Model ◽  
Assessment Process ◽  
The South ◽  
Model Risk ◽  
Risk Assessment Process ◽  
Management Alternatives ◽  
Relative Risk Model

A general risk-based adaptive management scheme incorporating the Bayesian Network Relative Risk Model with the South River, Virginia, as case study

2016 ◽  
Vol 13 (1) ◽  
pp. 115-126 ◽  
Author(s):  
Wayne G Landis ◽  
April J Markiewicz ◽  
Kim K Ayre ◽  
Annie F Johns ◽  
Meagan J Harris ◽  
...  
Keyword(s):  
Relative Risk ◽  
Bayesian Network ◽  
Adaptive Management ◽  
Risk Model ◽  
The South ◽  
Management Scheme ◽  
Relative Risk Model

A methodology for e-banking risk assessment using fuzzy logic and Bayesian network

2021 ◽  
Vol 19 (3) ◽  
pp. 101-124
Author(s):  
Ako Rita Erhovwo ◽  
Okpako Abugor Ejaita ◽  
Duke Oghorodi
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Bayesian Network ◽  
Operational Risk ◽  
Assessment Process ◽  
Exposure Level ◽  
Model Assessment ◽  
Assessment Methodology ◽  
Risk Assessment Process ◽  
Risk Assessment Methodology

Risk assessment methodology in general has been around for quite a while, its prominence in the E-banking field is a fairly recent phenomenon. We are at the point where risk assessments are critical to the overall function of banks. Banks are required to assess the processes underlying their operations against potential threats, vulnerabilities, and their potential impact, which helps in revealing the risk exposure level, and the residual risks. Identifying clearly a risk assessment methodology is often the first step of assessing and evaluating risk associated with an organization operation. This paper presents a risk assessment methodology for Ebanking Operational Risk. The proposed risk assessment methodology consists of four major steps: a risk model, assessment approach, analysis approach and a risk assessment process. The main tool of the proposed risk assessment methodology is the risk assessment process. The assessment process gives detailed explanation with respect to which models or techniques may be applied and how they are expressed. In this paper the risk assessment technique is built upon fuzzy logic (FL) concept and Bayesian network (BN). In fuzzy logic, an element is included with a degree of membership. Bayesian network is an inference classifier that is capable of representing conditional independencies. The Bayesian and fuzzy logic–based risk assessment process gives good predictions for risk learning and inference in the E-banking systems. Keywords: Fuzzy logic, Bayesian network, risk assessment methodology, operational risk, Ebanking

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