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Comparison of different multicriteria methods in selecting optimal biomechanical model parameters
Author(s) -
Srdjevic Z.
Publication year - 2012
Publication title -
zamm ‐ journal of applied mathematics and mechanics / zeitschrift für angewandte mathematik und mechanik
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.449
H-Index - 51
eISSN - 1521-4001
pISSN - 0044-2267
DOI - 10.1002/zamm.201100017
Subject(s) - topsis , identification (biology) , computer science , mathematical optimization , mathematics , operations research , biology , botany
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.