fuzzy model

fuzzy model

[¦fəz·ē ′mäd·əl]
(mathematics)
A finite set of fuzzy relations that form an algorithm for determining the outputs of a process from some finite number of past inputs and outputs.
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The following fuzzy model measures the efficiency score of [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]:
In a few words, this procedure takes a fuzzy model and adjusts it with a back propagation algorithm based on the collection of input-output data.
Linguistic terms are used to assist decision makers in making judgment on ratings and weights of competitiveness attributes within the framework of a fuzzy model.
Xu and Zhai (2008) proposed a fuzzy model to find an optimal technique for dealing with the fuzziness aspect of demand uncertainties.
In order to deal with such situations, a fuzzy model approach based on fuzzy logic [5], is considered to be the most appropriate.
The proposed fuzzy model is used to quantify the rule table in order to deduce a quantitative diagnostic classifier, which has been effective in diagnosing the investigated seven chiller faults.
Our next step is to transform the fuzzy model into a crisp model (i.
Figure 4a shows how the fuzzy model would work with our running example of blue sky and blue ocean images.
Mssaro in [6] for speech perception contrasted the traditional model and fuzzy model.
Thus, it would be a problem to rank the overall score of each alternative in the fuzzy model.
The results obtained by applying the fuzzy model and shown in Table 3 are related to the reference of the locomotive driver to the railway section 'Lapovo'.

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