Sentence examples for by comparing the fuzzy from inspiring English sources

A successful classification of the prefectures of Greece in forest fire risk zones was done by the system, by comparing the fuzzy expected intervals to each other.

The former is computed by comparing the fuzzy computed production time to a given fuzzy production time horizon and the latter is based on the additional fuzzy demand that the plant is able to produce.

The delay/advance objective is computed by comparing the fuzzy production time for the products to a given fuzzy time horizon, and the flexibility index represents the additional fuzzy production that the plant would be able to produce.

A successful classification of the prefectures of Greece (in forest fire risk zones) was performed by the expert system by comparing the produced fuzzy expected intervals to each other and by using a supervised machine learning algorithm that assigns a certain weight of forest fire risk to each prefecture (Machine Learning, John Wiley and Sons, 1995).

Marie Herberstein, a behavioral ecologist at Macquarie University in Sydney, Australia, is convinced that the spiders gain a sense of depth by comparing the clear and fuzzy images projected on the different layers of their complicated retinas.

The validation of the model has been done by comparing the predicted values of fuzzy WQI from the model with that of the deterministic values of WQI.

By comparing the results with those from the fuzzy multi-objective models, we believe that the proposed fuzzy random multi-objective model and hybrid intelligent algorithm provide significant solutions to construct other inventory models with fuzzy random variables in real life.

The developed fuzzy model is validated by comparing the model output with experimental data.

Thereafter, different fuzzy clustering algorithms (for known number of clusters) are then evaluated by comparing the clustering results of ADEFC and reported in Table  3.

Figure6 compares the fuzzy controller with the p-action controller.

When the experimental data and the inferences of the models are compared, the fuzzy-genetic model yielded results in a more successful range by which behaviours can be defined than the multi layered artificial neural network and fuzzy logic models.