Optimization of Multiple Responses in the Taguchi Method Using Desirability Function and Fuzzy Regression

By using multiple logistic regression analysis, each of the 8 SNP associations was tested using 3 different genetic models (Dom- inant, Recessive and Additive model), in 4 types

The multiple regression analysis, using the protein content mean of each RIL, in the two locations, identified 10 markers associated with variation in protein content, located in

There is a particular need for the testing of combination therapies that could increase the durability of the responses, in terms of lung function and symptoms, obtained with

When comparing the responses it was noticed that when considering each word in the sentence it is possible to scale, more detailed and less variability, the actual ability to

A method based on multiple responses optimisation (Desirability) was used to evaluate the properties of tensile strength, perforation force, elongation and seal strength of

The greatest difficult in the determination of plasma temperature using a multiple levels approach is overcome by calculating the transition probabilities in terms of the

The optimal solution in the fuzzy linear programming of type-1 is obtained through a linear defuzzification function, defined in the trapezoidal fuzzy numbers sub- space of

— Pattern shift visual, brainstem auditory, and short latency somatosensory evoked potentials in multiple sclerosis.. — Visual evoked responses in the diagnosis and management