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JACIII Vol.15 No.4 pp. 406-417
doi: 10.20965/jaciii.2011.p0406
(2011)

Paper:

Using Hybrid MCDM Methods to Assess Fuel Cell Technology for the Next Generation of Hybrid Power Automobiles

Chi-Yo Huang*, Yi-Hsuan Hung*, and Gwo-Hshiung Tzeng**,***

*Department of Industrial Education, National Taiwan Normal University, No.162, He-ping East Road, Section 1, Taipei 106, Taiwan

**Institute of Project Management, Kainan University, No.1, Kainan Road, Luchu, Taoyuan 338, Taiwan

***Institute of Management of Technology, National Chiao Tung University, 1001, Ta-Hsueh Road, Hsinchu 300, Taiwan

Received:
January 7, 2010
Accepted:
March 1, 2011
Published:
June 20, 2011
Keywords:
multiple criteria decision making (MCDM) mixed electrical energy vehicles, fuel cells, decision making trial and evaluation laboratory (DEMATEL), analytic network process (ANP), grey relation analysis (GRA)
Abstract

With their huge consumption of petroleum and creation of a large number of pollutants, traditional vehicles have become one of the major creators of pollution in the world. To save energy and reduce carbon dioxide emissions, in recent years national governments have aggressively planned and promoted energy-saving vehicles that use green energy. Thus, hybrid electric vehicles have already become the frontrunners for future vehicles while fuel cells are considered the most suitable energy storage devices for future hybrid electric vehicles. However, various competing fuel cell technologies do exist. Furthermore, very few scholars have tried to investigate how the development of future fuel cells for hybrid electric vehicles can be assessed so that the results can serve as a foundation for the next generation of hybrid electric vehicle developments. Thus, how to assess various fuel cells is one the most critical issues in the designing of hybrid electric vehicles. This research intends to adopt a framework based on Hybrid Multiple-Criteria Decision Making (MCDM) for the assessment of the development in fuel cells for future hybrid electric vehicles. The analytic framework can be used for selecting the most suitable fuel cell technology for future hybrid electric vehicles. The results of the analysis can also be used for designing the next generation of hybrid electric vehicles.

Cite this article as:
C. Huang, Y. Hung, and G. Tzeng, “Using Hybrid MCDM Methods to Assess Fuel Cell Technology for the Next Generation of Hybrid Power Automobiles,” J. Adv. Comput. Intell. Intell. Inform., Vol.15, No.4, pp. 406-417, 2011.
Data files:
References
  1. [1] H. L. MacLeana and L. B. Laveb, “Evaluating automobile fuel/propulsion system technologies,” Progress in Energy and Combustion Science, Vol.29, No.1, pp. 1-69, 2003.
  2. [2] D. R. McCubbin and M. A. Delucchi, “The Health Costs of Motor-Vehicle-Related Air Pollution,” J. of Transport Economics and Policy, Vol.33, No.3, pp. 253-286, 1999.
  3. [3] B. D. Solomon and A. Banerjee, “A global survey of hydrogen energy research, development and policy,” Energy policy, Vol.34, No.7, pp. 781-792, 2006.
  4. [4] P. H. Rossi and H. E. Freeman, “Evaluation – a Systematic Approach,” London: Sage Publication, 1993.
  5. [5] A. D. P. Henriksen, “A technology assessment primer for management of technology,” Int. J. of Technology Management, Vol.13, No.5/6, pp. 615-638, 1997.
  6. [6] A. Drejer and J. O. Riis, “Competence development and technology: How learning and technology can be meaningfully integrated,” Technovation, Vol.19, No.10, pp. 631-644, 1999.
  7. [7] M. Torkkeli and M. Tuominen, “The contribution of technology selection to core competencies,” Int. J. of production economics, Vol.77, No.3, pp. 271-284, 2002.
  8. [8] A. L. Porter and M. J. Detampel, “Technology opportunities analysis,” Technological Forecasting and Social Change, Vol.49, No.3, pp. 237-255, 1995.
  9. [9] T. M. Khalil, “Management of technology: The key to competitiveness and wealth creation,” New York: Mcgraw-Hill, 2000.
  10. [10] J. Jones and D. Hunter, “Qualitative Research: Consensus methods for medical and health services research,” British Medical Journal, Vol.311, No.5, pp. 376-380, 1995.
  11. [11] N. Dalkey and O. Helmer, “An experimental application of the Delphi method to the use of experts,” Management Science, Vol.9, No.3, pp. 458-467, 1963.
  12. [12] H. A. Linstone and M. Turoff, “The Delphi Method: Techniques and Applications,” Reading, M. A.: Addison-Wesley Publishing Company, 1975.
  13. [13] H. A. Linstone and M. Turoff, “The Delphi Method: Techniques and Applications,” London: Addison-Wesley, 1975.
  14. [14] G. H. Tzeng, C. H. Chiang, and C. W. Li, “Evaluating intertwined effects in e-learning programs: a novel hybrid MCDM model based on factor analysis and DEMATEL,” Expert Systems with Applications, Vol.32, No.4, pp. 1028-1044, 2007.
  15. [15] S. Hori and Y. Shimizu, “Designing methods of human interface for supervisory control systems,” Control Engineering Practice, Vol.7, No.11, pp. 1413-1419, 1999.
  16. [16] C. Y. Huang, J. Z. Shyu, and G. H. Tzeng, “Reconfiguring the innovation policy portfolios for Taiwan’s SIP Mall industry,” Technovation, Vol.27, No.12, pp. 744-765, 2007.
  17. [17] J. J. H. Liou, G. H. Tzeng, and H. C. Chang, “Airline safety measurement using a hybrid model,” Air Transport Management, Vol.13, No.4, pp. 243-249, 2007.
  18. [18] M. Tamura, H. Nagata, and K. Akazawa, “Extraction and systems analysis of factors that prevent safety and security by structural models,” in Proceedings of the 41st SICE Annual Conf., Vol.3, Osaka, Japan, pp. 1752-1759, 2002.
  19. [19] T. L. Saaty, “Decision Making with Dependence and Feedback: The Analytic Network Process,” Pittsburgh: RWS Publication, 1996.
  20. [20] T. L. Saaty, “Theory and Applications of the Analytic Network Process,” Pittsburg, PA: RWS Publications, 2005.
  21. [21] Y.-T. Lee, W.-W. Wu, and G.-H. Tzeng, “Combining the DEMATEL with the ANP and ZOGP for selecting IT projects,” Information Science, forthcoming, 2006.
  22. [22] R. W. Saaty, “The Analytic Hierarchy Process (AHP) for Decision Making and The Analytic Network Process (ANP) for Decision Making with Dependence and Feedback,” Pittsburgh, PA: Creative Decisions Foundation, 2003.
  23. [23] T. L. Saaty, “Decision Making With Dependence and Feedback: The Analytic Network Process,” Pittsburgh, PA: RWS Publications, 1996.
  24. [24] T. L. Saaty, “Fundamentals of the Analytic Network Process,” in Proceedings of Int. Symposium on Analytical Hierarchy Process, 1999 Japan, Kobe, 1999.
  25. [25] T. L. Saaty, “The Analytic Hierarchy Process,” New York: McGraw-Hill, 1980.
  26. [26] J.-J. Huang, G.-H. Tzeng, and C.-S. Ong, “Multidimensional data in multidimensional scaling using the analytic network process,” Pattern Recognition Letters, Vol.26, No.6, pp. 755-767, 2005.
  27. [27] J. Deng, “Control Problems of Grey Systems,” Systems and Control Letters, Vol.5, No.2, pp. 288-294, 1982.
  28. [28] J. L. Deng, “Fundamental Methods of Grey Systems,” Wuhan, China: Huazhoug University of Science and Technology, 1985.
  29. [29] J. L. Deng, “Grey System Book,”Windsor: Science and Technology Information Services, 1988.
  30. [30] J. L. Deng, “Introduction of Grey Theory,” The J. of Grey System, Vol.1, No.1, pp. 1-24, 1989.
  31. [31] G. H. Tzeng and S. H. Tasur, “The Multiple Criteria Evaluation of Grey Relation Model,” The J. of Grey System, Vol.6, No.2, pp. 87-108, 1994.
  32. [32] H.-K. Chiou and G.-H. Tzeng, “Fuzzy hierarchical evaluation with Grey relation model of green engineering for industry,” Int. J. of Fuzzy System, Vol.3, No.3, pp. 466-475, 2001.
  33. [33] J. L. Deng, “Grey Forecasting and Decision,” Wuhan: Huazhong University of Science and Technology Press, 1986.
  34. [34] D. L. Mon, G. H. Tzeng, and H. C. Lu, “Grey decision making in weapon system evaluation,” J. of Chung Chen Institute of Technology, Vol.26, No.1, pp. 73-84, 1995.
  35. [35] H. S. Wu, J. L. Deng, and K. L. Wen, “Introduction to Grey Analysis,” Taiwan: Gau-Li Publication Inc., 1996 (in Chinese).
  36. [36] J. L. Deng, Grey Forecasting and Decision, Wuhan, China: Huazhong University of Science and Technology Press, 1986 (in Chinese).

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