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

Paper:

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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
Creative Commons License
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.
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