Handling Uncertainty
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Handling Uncertainty
Acting as a wide-ranging guide for young professionals and a source of reference for managers, this title deals with the subject of uncertainty in the process industries and related fields, in a practical and positive way. It demonstrates how to recognize key features and handle different situations effectively, illustrating the principles for effective action with examples from the author's experience in the process industries.
Handling Uncertainty in Artificial Intelligence
This book demonstrates different methods (as well as real-life examples) of handling uncertainty like probability and Bayesian theory, Dempster-Shafer theory, certainty factor and evidential reasoning, fuzzy logic-based approach, utility theory and expected utility theory. At the end, highlights will be on the use of these methods which can help to make decisions under uncertain situations. This book assists scholars and students who might like to learn about this area as well as others who may have begun without a formal presentation. The book is comprehensive, but it prohibits unnecessary mathematics.
Managing Uncertainty, Mitigating Risk
Managing Uncertainty, Mitigating Risk proposes that financial risk management broaden its approach, maintaining quantification where possible, but incorporating uncertainty. The author shows that by using broad quantification techniques, and using reason as the guiding principle, practitioners can see a more holistic and complete picture.