By Topic

Determining flexor-tendon repair techniques via soft computing

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
M. Johnson ; Dept. of Electr. & Comput. Eng., The Univ. of New Mexico, Albuquerque, NM, USA ; K. Firoozbakhsh ; M. Moniem ; M. Jamshidi

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.

Published in:

IEEE Engineering in Medicine and Biology Magazine  (Volume:20 ,  Issue: 6 )