Comparing Probabilistic and Fuzzy Set Approaches for Designing in the Presence of Uncertainty

Topics:
Aerospace and Defense
Tags:
Uncertainty,
Variability,
Virginia Polytechnic Institute
Source:
Virginia Polytechnic Institute and State University

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Overview: Probabilistic models and fuzzy set models describe different aspects of uncertainty. Probabilistic models primarily describe random variability in parameters. In engineering system safety, examples are variability in material properties, geometrical dimensions, or wind loads. In contrast, fuzzy set models of uncertainty primarily describe vagueness, such as vagueness in the definition of safety. This study compares the two approaches systematically as a function of the amount of available information.

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Format: PDF | Size: 675KB | Date: Aug 2000 | Pages: 157

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