Department of Automation, Shenyang Jianzhu University, Shenyang 110168, China
Mini-Review
Enhancing Risk Management through Probabilistic Reasoning: Strategies and Techniques
Author(s): Felica Neon*
This paper explores the integration of probabilistic reasoning into risk management frameworks, highlighting its significance in identifying,
evaluating and addressing uncertainties. By employing probabilistic models, organizations can make informed decisions, optimize resource
allocation and anticipate potential outcomes with greater accuracy. Strategies for successful implementation of probabilistic reasoning in risk
management are discussed, emphasizing the importance of data quality, expert judgment and continuous improvement. Case studies from
different industries illustrate the practical application and benefits of probabilistic risk management. Overall, this paper underscores the pivotal
role of probabilistic reasoning in enhancing risk management practices and fostering resilience in the face of uncertainties. Risk management
is a critical aspect of dec.. Read More»
DOI:
10.37421/2168-9695.2024.13.287
Advances in Robotics & Automation received 1127 citations as per Google Scholar report