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determining flexor-tendon repair techniques via soft computingAn SC-based multi-objective decision-making method for determining the optimal flexor-tendon repair technique from experimental and clinical survey data, and with variable circumstances, was presented. Results were compared with those from the Taguchi method. Using the Taguchi method results in the need to perform ad-hoc decisions when the outcomes for individual objectives are contradictory to a particular preference or circumstance, whereas the SC-based multi-objective technique provides a rigorous straightforward computational process in which changing preferences and importance of differing objectives are easily accommodated. Also, adding more objectives is straightforward and easily accomplished. The use of fuzzy-set representations of information categories provides insight into their performance throughout the range of their universe of discourse. The ability of the technique to provide a "best" medical decision given a particular physician, hospital, patient, situation, and other criteria was also demonstrated.
Document ID
Document Type
Reprint (Version printed in journal)
External Source(s)
Johnson, M.
(NASA Headquarters Washington, DC United States)
Firoozbakhsh, K.
Moniem, M.
Jamshidi, M.
Date Acquired
August 22, 2013
Publication Date
November 1, 2001
Publication Information
Publication: IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society
Volume: 20
Issue: 6
ISSN: 0739-5175
Subject Category
Life Sciences (General)
Distribution Limits