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In this paper, a TSK-type neuro-fuzzy system with multi groups cooperation based symbiotic evolution method (TNFS-MGCSE) is proposed.
Comparisons between multi groups were analyzed using the Kruskal-Wallis test and the Steel test.
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Further, a multi group analysis affirmed that the model remains invariant across the categorical variables gender, cohabitance and work status.
A multi group model was tested across male (n = 9112) and female participants (n = 14,229).
For this second step we tested a multi group model and its fit parameters.
We consider non-regenerative multi-group multi-way (MGMW) relaying.
2PLM: multi-group 2PL model; 2PDM: multi-group two-class performance decline model; HYBRID: multi-group HYBRID model; MPDM: multi-group multi-class performance decline model.
For this, a multi-group routing algorithm is designed.
The findings of the multi-group analysis are remarkable.
Single and multi-group evaluation methods are examined.
Then, we analyzed the differences among the three groups using multi-group comparison.
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