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Fuzzy axiomatic design extension for managing model selection paradigm in decision science
Authors:Metin Celik  I Deha Er
Affiliation:1. Department of Maritime Transportation and Management Engineering, Istanbul Technical University, Tuzla, 34940 Istanbul, Turkey;2. Department of Marine Engineering, Istanbul Technical University, Tuzla, 34940;1. Department of Urology, Keio University School of Medicine, Tokyo, Japan;2. Department of Uro-Oncology, Saitama Medical University International Medical Center, Hidaka, Japan;3. Department of Urology, National Defense Medical College, Tokorozawa, Japan;4. Department of Urology, Saiseikai Central Hospital, Tokyo, Japan;5. Department of Urology, Saitama City Hospital, Saitama, Japan;6. Department of Urology, National Hospital Organization Saitama Hospital, Wako, Japan;7. Department of Urology, Ichikawa General Hospital, Tokyo Dental College, Ichikawa, Japan;8. Division of Diagnostic Pathology, Keio University Hospital, Tokyo, Japan;9. Department of Urology, Aichi Medical University School of Medicine, Nagakute, Japan;1. Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Hesarak, Tehran 1477893855, Iran;2. Department of Industrial Design, College of Fine Arts, University of Tehran, Enghelab St, Tehran 1417614418, Iran;3. College of Industrial Engineering, Islamic Azad University, South Tehran Branch, Entezari Aly, Oskoui St, Choobi Brg, Tehran 1151863411, Iran;4. Department of Mechanical Engineering, Islamic Azad University, South Tehran Branch, Entezari Aly, Oskoui St, Choobi Brg, Tehran 1151863411, Iran;1. School of Information and Communication Technology, Griffith University, Nathan, Brisbane, QLD 4111, Australia;2. Queensland Institute of Business and Technology, Mt Gravatt, Brisbane QLD 4122, Australia;1. Institut für Kernphysik, Johannes Gutenberg-Universität Mainz, 55099 Mainz, Germany;2. Massachusetts Institute of Technology, Cambridge, MA 02139-4307, USA;3. Kent State University, Kent, OH 44242-0001, USA;4. SUPA School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, United Kingdom;5. Helmholtz-Institut für Strahlen- und Kernphysik, Universität Bonn, 53115 Bonn, Germany;6. Joint Institute for Nuclear Research, 141980 Dubna, Russia;7. INFN Sezione di Pavia, 27100 Pavia PV, Italy;8. Dipartimento di Fisica, Università di Pavia, 27100 Pavia PV, Italy;9. The George Washington University, Washington, DC 20052-0001, USA;10. Lebedev Physical Institute, 119991 Moscow, Russia;11. Department of Astronomy and Physics, Saint Mary''s University, Halifax, Nova Scotia B3H 3C3, Canada;12. Departement für Physik, Universität Basel, 4056 Basel, Switzerland;13. Jefferson Lab, Newport News, VA 23606, USA;14. Laboratory of Mathematical Physics, Tomsk Polytechnic University, 634034 Tomsk, Russia;15. SUPA School of Physics, University of Edinburgh, Edinburgh EH9 3JZ, United Kingdom;p. Institute for Nuclear Research, 125047 Moscow, Russia;q. Mount Allison University, Sackville, New Brunswick E4L 1E6, Canada;r. University of Regina, Regina, Saskatchewan S4S 0A2, Canada;s. Rudjer Boskovic Institute, HR-10000 Zagreb, Croatia;t. University of Massachusetts, Amherst, MA 01003, USA;u. Institut für Experimentalphysik, Ruhr-Universität, 44780 Bochum, Germany;v. University of California Los Angeles, Los Angeles, CA 90095-1547, USA;1. College of Engineering, China Agricultural University, Beijing 100083, China;2. Beijing Key Laboratory of Modern Agricultural Equipment Optimization Design, 17 Qinghua East Road, 100083, Beijing, China
Abstract:The model selection paradigm is one of the focused themes within decision science. This paper addresses the consistent solution of model selection issue on the basis of the fuzzy axiomatic design (FAD) methodology. Moreover, the developed FAD–based model selection interface (FAD–MSI) is performed over the critical ship management processes in order to assign suitable (multiple criteria decision-making) MCDM techniques even if commonly utilized hybrid approaches. The outcomes of this study encourage the maritime practitioners for the further researches towards analytical modelling of ship management processes.
Keywords:
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