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Therefore, by solving n problems, classification of DMUs is first identified.
A model independent method is especially aimed for multi-class problems (classification with more than two classes) [30].
Fuzzy logic can be used to solve problems such as input output problems, classification problem and mapping problems.
But in the latter method by solving only n problems, classification, variations ranges of inputs and outputs and radius of stability of all DMUs are identified.
There is the possibility to adapt the method for problems classification, ie, case-control studies, for example, for disease type 1 diabetes, simply, change the p-value of the Spearman correlation for the p-value of chi-square test between the SNP and the phenotype.
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According to the problem classification in Parragh et al.
Problem classification is associated with problem solving performance in evolution experts and novices. .
Following problem classification, the domains and situations of such optimization problems are investigated.
The discussion concludes with the roles of problem classification and the direction of future works.
Drawing upon routine activity theory, they created the problem classification scheme.
The Product-Counterfeiting Incident Cluster Tool is similar to the Problem Classification Scheme, in its underlying theory, operation and goals (Eck [2003], Eck and Clarke [2003]).
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