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Journal of Applied Mathematics
Volume 2014, Article ID 541232, 13 pages
http://dx.doi.org/10.1155/2014/541232
Research Article

Garage Location Selection for Public Transportation System in Istanbul: An Integrated Fuzzy AHP and Fuzzy Axiomatic Design Based Approach

Department of Industrial Engineering, Yildiz Technical University, Besiktas, 34349 Istanbul, Turkey

Received 12 May 2014; Revised 6 August 2014; Accepted 20 August 2014; Published 14 September 2014

Academic Editor: Xinkai Chen

Copyright © 2014 Özge Nalan Bilişik et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. B. Özel and B. Özyörük, “Supplier selection with fuzzy axiomatic design,” Journal of the Faculty of Engineering and Architecture of Gazi University, vol. 22, no. 3, pp. 415–423, 2007. View at Google Scholar · View at Scopus
  2. A. M. Gonçalves-Coelho and A. J. F. Mourão, “Axiomatic design as support for decision-making in a design for manufacturing context: a case study,” International Journal of Production Economics, vol. 109, no. 1-2, pp. 81–89, 2007. View at Publisher · View at Google Scholar · View at Scopus
  3. O. Kulak and C. Kahraman, “Fuzzy multi-attribute selection among transportation companies using axiomatic design and analytic hierarchy process,” Information Sciences, vol. 170, no. 2–4, pp. 191–210, 2005. View at Publisher · View at Google Scholar · View at Scopus
  4. EN 13816, “European Committee for Standardization,” Brussels, Belgium, 2002, http://www.transportbenchmarks.eu/.
  5. The IETT website, http://www.iett.gov.tr/.
  6. E. Yılmaz, “Axiomatic design of urban public transportation systems,” Uludağ University Journal of the Faculty of Engineering and Architecture, vol. 11, no. 1, pp. 9–26, 2006. View at Google Scholar
  7. S. J. Kim, N. P. Suh, and S. G. Kim, “Design of software systems based on axiomatic design,” Robotics and Computer Integrated Manufacturing, vol. 8, no. 4, pp. 243–255, 1991. View at Publisher · View at Google Scholar · View at Scopus
  8. N. P. Suh, “Designing-in of quality through axiomatic design,” Microelectronics Reliability, vol. 37, no. 3, pp. 538–539, 1997. View at Google Scholar
  9. N. P. Suh, D. S. Cochran, and P. C. Lima, “Manufacturing system design,” CIRP Annals—Manufacturing Technology, vol. 47, no. 2, pp. 627–639, 1998. View at Publisher · View at Google Scholar · View at Scopus
  10. B. Babic, “Axiomatic design of flexible manufacturing systems,” International Journal of Production Research, vol. 37, no. 5, pp. 1159–1173, 1999. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  11. O. Kulak and M. B. Durmuşoğlu, “A complete cellular manufacturing system design methodology based on axiomatic design principles,” ITO Engineering Journal, vol. 3, no. 6, pp. 33–46, 2004. View at Google Scholar
  12. O. Kulak, M. B. Durmuşoǧlu, and C. Kahraman, “Fuzzy multi-attribute equipment selection based on information axiom,” Journal of Materials Processing Technology, vol. 169, no. 3, pp. 337–345, 2005. View at Publisher · View at Google Scholar · View at Scopus
  13. C. Kahraman, I. Kaya, and S. Cebi, “A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process,” Energy, vol. 34, no. 10, pp. 1603–1616, 2009. View at Publisher · View at Google Scholar · View at Scopus
  14. T. Kaya and C. Kahraman, “An integrated fuzzy AHP-ELECTRE methodology for environmental impact assessment,” Expert Systems with Applications, vol. 38, no. 7, pp. 8553–8562, 2011. View at Publisher · View at Google Scholar · View at Scopus
  15. M. Celik, S. Cebi, C. Kahraman, and I. D. Er, “Application of axiomatic design and TOPSIS methodologies under fuzzy environment for proposing competitive strategies on Turkish container ports in maritime transportation network,” Expert Systems with Applications, vol. 36, no. 3, pp. 4541–4557, 2009. View at Publisher · View at Google Scholar · View at Scopus
  16. S. Cebi and C. Kahraman, “Developing a group decision support system based on fuzzy information axiom,” Knowledge-Based Systems, vol. 23, no. 1, pp. 3–16, 2010. View at Publisher · View at Google Scholar · View at Scopus
  17. M. Celik, C. Kahraman, S. Cebi, and I. D. Er, “Fuzzy axiomatic design-based performance evaluation model for docking facilities in shipbuilding industry: the case of Turkish shipyards,” Expert Systems with Applications, vol. 36, no. 1, pp. 599–615, 2009. View at Publisher · View at Google Scholar · View at Scopus
  18. T. Özcan, N. Çelebi, and Ş. Esnaf, “Comparative analysis of multi-criteria decision making methodologies and implementation of a warehouse location selection problem,” Expert Systems with Applications, vol. 38, no. 8, pp. 9773–9779, 2011. View at Publisher · View at Google Scholar · View at Scopus
  19. A. Awasthi, S. S. Chauhan, and S. K. Goyal, “A multi-criteria decision making approach for location planning for urban distribution centers under uncertainty,” Mathematical and Computer Modelling, vol. 53, no. 1-2, pp. 98–109, 2011. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet · View at Scopus
  20. Y. Li, X. Liu, and Y. Chen, “Selection of logistics center location using Axiomatic Fuzzy Set and TOPSIS methodology in logistics management,” Expert Systems with Applications, vol. 38, no. 6, pp. 7901–7908, 2011. View at Publisher · View at Google Scholar · View at Scopus
  21. Y. Kayikci, “A conceptual model for intermodal freight logistics centre location decisions,” Procedia Social and Behavioral Sciences, vol. 2, no. 3, pp. 6297–6311, 2010. View at Publisher · View at Google Scholar
  22. M. S. Kuo, “Optimal location selection for an international distribution center by using a new hybrid method,” Expert Systems with Applications, vol. 38, no. 6, pp. 7208–7221, 2011. View at Publisher · View at Google Scholar · View at Scopus
  23. Ö. N. Alp, N. Demirtaş, H. Baraçlı, and U. R. Tuzkaya, in 15th International Research/Expert Conference: Trends in the Development of Machinery and Associated Technology (TMT '11), Prague, Czech Republic, September 2011.
  24. S.-Y. Chou, Y.-H. Chang, and C.-Y. Shen, “A fuzzy simple additive weighting system under group decision-making for facility location selection with objective/subjective attributes,” European Journal of Operational Research, vol. 189, no. 1, pp. 132–145, 2008. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  25. C. Kahraman, D. Ruan, and I. Doǧan, “Fuzzy group decision-making for facility location selection,” Information Sciences, vol. 157, no. 1–4, pp. 135–153, 2003. View at Publisher · View at Google Scholar · View at Scopus
  26. J. Ma, J. Lu, and G. Zhang, “Decider: a fuzzy multi-criteria group decision support system,” Knowledge-Based Systems, vol. 23, no. 1, pp. 23–31, 2010. View at Publisher · View at Google Scholar · View at Scopus
  27. G. Zhang and J. Lu, “An integrated group decision-making method dealing with fuzzy preferences for alternatives and individual judgments for selection criteria,” Group Decision and Negotiation, vol. 12, no. 6, pp. 501–515, 2003. View at Publisher · View at Google Scholar · View at Scopus
  28. T. Chen, “A collaborative fuzzy-neural approach for long-term load forecasting in Taiwan,” Computers and Industrial Engineering, vol. 63, no. 3, pp. 663–670, 2012. View at Publisher · View at Google Scholar · View at Scopus
  29. U. Cebeci, “Fuzzy AHP-based decision support system for selecting ERP systems in textile industry by using balanced scorecard,” Expert Systems with Applications, vol. 36, no. 5, pp. 8900–8909, 2009. View at Publisher · View at Google Scholar · View at Scopus
  30. T.-Y. Hsieh, S.-T. Lu, and G.-H. Tzeng, “Fuzzy MCDM approach for planning and design tenders selection in public office buildings,” International Journal of Project Management, vol. 22, no. 7, pp. 573–584, 2004. View at Publisher · View at Google Scholar · View at Scopus
  31. C. Kahraman and S. Çebi, “A new multi-attribute decision making method: hierarchical fuzzy axiomatic design,” Expert Systems with Applications, vol. 36, no. 3, pp. 4848–4861, 2009. View at Publisher · View at Google Scholar · View at Scopus
  32. O. Kulak, “A decision support system for fuzzy multi-attribute selection of material handling equipments,” Expert Systems with Applications, vol. 29, no. 2, pp. 310–319, 2005. View at Publisher · View at Google Scholar · View at Scopus