Uncertainty Modeling and Analysis in Engineering and the Sciences

2006-05-25otherChapman & Hall/CRC eBooks371 citationsclosed

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Probabilistic and Robust Engineering Design Risk and Safety Analysis Fuzzy Systems and Optimization

Abstract

Engineers and scientists often need to solve complex problems with incomplete information resources, necessitating a proper treatment of uncertainty and a reliance on expert opinions. Uncertainty Modeling and Analysis in Engineering and the Sciences prepares current and future analysts and practitioners to understand the fundamentals of knowledge a

Citations in this library

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References

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2013A fuzzy ServQual based method for reliable measurements of education quality in Italian higher education area

2011Handling and updating uncertain information in bow-tie analysis

2009Handling data uncertainties in event tree analysis

2018Uncertainty Handling in the Safety Risk Analysis: An Integrated Approach Based on Fuzzy Fault Tree Analysis