Soft Methodology and Random Information Systems pp 559-566 | Cite as
Interval Fuzzy Bayesian Inference
Conference paper
Abstract
The aim of this paper is to show a way of applying Bayesian inference on interval fuzzy data assuming that all the time we work with interval probabilities. The proposal is illustrated with an example in Health Care, specifically on inferring population annoyance level caused by noise exposure.
Keywords
Fuzzy Number Sound Level Noise Exposure Triangular Fuzzy Number Inclusion Function
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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