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Mixed aleatory and epistemic uncertainty quantification using fuzzy set theory

  • Published:2015-11 Issue: Volume:66 Page:1-15
  • ISSN:0888-613X
  • Container-title:International Journal of Approximate Reasoning
  • language:en
  • Short-container-title:International Journal of Approximate Reasoning

Author:

He Yanyan,Mirzargar Mahsa,Kirby Robert M.

Funder

National Science Foundation

Army Research Laboratory

Publisher

Elsevier BV

Subject

Applied Mathematics,Artificial Intelligence,Theoretical Computer Science,Software

Reference34 articles.

1. Simulation – based engineering science;of NSF,2006

2. Spectral Methods for Uncertainty Quantification;Le Maître,2010

3. A comprehensive framework for verification, validation, and uncertainty quantification in scientific computing;Roy;Comput. Methods Appl. Mech. Eng.,2011

4. Propagation of uncertainty in risk assessments: the need to distinguish between uncertainty due to lack of knowledge and uncertainty due to variability;Hoffman;Risk Anal.,1994

5. Fuzzy sets;Zadeh;Inf. Control,1965

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