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In Statistics we normally use weighted frequencies for each person when multiple responses are available.
The multiple responses are optimized simultaneously using Taguchi based grey relational analysis.
The grey relational grade values for the multiple responses are obtained using weighted grey relational analysis.
However, for many applications joint predictions of the multiple responses are needed.
The multiple responses are aggregated into a single multi-performance index using fuzzy based Principal component function.
Functions developed for calculation of multiple responses are discussed, including the desirability function, which was proposed by Derringer and Suich in 1980.
Similar(43)
Are you...?" Multiple responses were permitted for each question.
Multiple responses were simultaneously analyzed by optimization.
The dependent parameters as multiple responses were evaluated.
An alternative to the use of desirability function for optimising multiple responses is proposed.
In addition, it was found out that the percentage improvement in GRG with the multiple responses is 39.4%.
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