Comparison of different multicriteria methods in selecting optimal biomechanical model parameters

Identification of model parameters is essential to biomechanical modeling. Different approaches for selecting optimal model parameters are in use, including compromise programming (CP), a multicriteria method. CP was successfully applied on the linear 4-degree-of-freedom biomechanical model of the seated human driver identification problem. For verification purposes, the other multicriteria method called TOPSIS is used for solving the same problem. Whether CP or TOPSIS is applied, the identified model parameters give satisfactory and similar human model response on vibration excitation. This justifies and recommends the multicriteria approach for application in selecting the optimal, in a multicriteria sense, biomechanical model parameters.