Title :
Determining flexor-tendon repair techniques via soft computing
Author :
Johnson, Mark ; Firoozbakhsh, Keikhosrow ; Moniem, Moheb ; Jamshidi, Mohammad
Author_Institution :
Dept. of Electr. & Comput. Eng., The Univ. of New Mexico, Albuquerque, NM, USA
Abstract :
This article describes a multi-objective techniques, of identifying the best options among a suite of factors that influence the successful outcome of flexor-tendon repair. Our article begins with fuzzy-set development and relevant fuzzy-logic operations. Next, we consider multi-objective decision making with fuzzy logic, followed by the inclusion of core suture technique complexity and preference variations as decision considerations. Results are presented followed by a comparison and contrast of the soft-computing-based multi-objective decision making and Taguchi methods.
Keywords :
Taguchi methods; decision support systems; entropy; fuzzy logic; medical expert systems; muscle; surgery; Taguchi methods; core suture technique complexity; entropy minimized membership functions; flexor-tendon repair techniques; fuzzy-set development; multi-objective decision making; multi-objective fuzzy-logic method; ordinal ranking; preference variations; soft computing; stiffness; tendon size; tensile strength; Decision making; Fuzzy logic; Fuzzy sets; Orthopedic surgery; Quality management; Statistics; Technological innovation; Tendons; Testing; Total quality management; Cadaver; Elasticity; Equipment Design; Equipment Failure; Fingers; Fuzzy Logic; Humans; Sensitivity and Specificity; Stress, Mechanical; Suture Techniques; Sutures; Tendons; Tensile Strength; Therapy, Computer-Assisted;
Journal_Title :
Engineering in Medicine and Biology Magazine, IEEE
