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The present study focused on the critical distance method.

The Mahalanobis distance method was used for identifying outliers in the monitoring data.

Step 2 Defuzzify corresponding linguistic values by means of signed distance method.

For this paper, the signed distance method as expressed in Eq. (2) is used.

Pollen development is estimated using the auricle distance method (Satake and Hayase [1970]).

The Euclidean distance method is used to calculate the similarity between two images.

In Fig. 18d, the results of the "Euclidean distance" method are depicted.

We used the inverse-squared distance method.

To identify genes specific for these groups, hierarchical clustering was employed, using the average distance method.

It supported the same topology as the distance method with slightly different bootstrap values (Figure 1).

The two clusters within IxAC-A were also recovered but bootstrap support was lower than with the distance method.

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