Fuzzy numbers is presented as an alternative to probabilistic methods for the management of uncertainty in system dynamic model. Fuzzy numbers are particularly suitable to represent vagueness and qualitative values. Fuzzy numbers are used during simulation, but due to interactiveness among variables there is a need for global optimization methods. Some examples that illustrate the use of fuzzy numbers, both directly and as a means to represent qualitative values, are shown.

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Date created

• 1993

Type

• Document

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• Processing documentation available at: https://wiki.albany.edu/display/SCA/Processing+Ingested+Digital+Files

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• Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International

  
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ITEM CONTEXT

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d52b7bb9c69ffcb6558a9eb830eec657

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Part of

f5ad87bb3e8247e3540ac1e44c6717f5

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Collection

System Dynamic Society Records

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Collecting area

• This collection is part of the University Archives