Eco-material selection using fuzzy TOPSIS method

References

• Amoiralis, E. I., P. S. Georgilakis, and A. T. Gioulekas. 2006. “An Artificial Neural Network for the Selection of Winding Material in Power Transformers.” In SETN 2006, LNAI 3955, edited by G. Antoniou, et al., 465–468. Berlin: Springer-Verlag.
   Google Scholar
• Ashby, M. 2008. Materials Selection in Mechanical Design. 3rd ed. Oxford. Butterworth-Heinemann.
   Google Scholar
• Ashby, M. 2009. Materials and the Environment. 1st ed. Oxford. Elsevier.
   Google Scholar
• CES (Cambridge Engineering Selector software). Granta Design. 2008.
   Google Scholar
• Chakraborty, S., and P. Chatterjee. 2013. “Selection of Materials Using Multi-criteria Decision-making Methods with Minimum Data.” Decision Science Letters 2: 135–148.10.5267/j.dsl.2013.03.005
   Google Scholar
• Coulter, S., B. Bras, G. Winslow, and S. Yester. 1996. “Designing for Material Separation: Lessons from Automotive Recycling.” In Proceedings of the 1996 ASME Design Engineering Technical Conferences and Computers in Engineering Conference. August 18–22, Irvine, CA.
   Google Scholar
• Davies, G. 2004. Materials for Automobile Bodies. 1st ed. Oxford. Butterworth-Heinemann.
   Google Scholar
• Ermolaeva, N. S., M. Castro, and P. V. Kandachar. 2004. “Materials Selection for an Automotive Structure by Integrating Structural Optimization with Environmental Impact Assessment.” Materials & Design 25: 689–698.
   Web of Science ®Google Scholar
• Graedel, T. E., and B. R. Allenby. 1994. Industrial Ecology and the Automobile. Prentice Hall International. New Jersey.
   Google Scholar
• Hajek, P. 2002. Fuzzy Logic. The Stanford Encyclopedia of Philosophy (Fall 2010 Edition), edited by Edward N. Zalta. Accessed from October 10, 2013. http://plato.stanford.edu/archives/fall2010/entries/logic-fuzzy/
   Google Scholar
• Hung, C. C., and L. H. Chen. 2009. “A Fuzzy TOPSIS Decision Making Model with Entropy Weight under Intuitionistic Fuzzy Environment”. In Proceedings of the International Multi-Conference of Engineers and Computer Scientists, Volume 1, IMECS 2009, March 18–20, 2009, Hong Kong.
   Google Scholar
• Hwang, C. L., and K. Yoon. 1981. Multiple Attribute Decision Making: Methods and Applications. New York: Springer-Verlag.10.1007/978-3-642-48318-9
   Google Scholar
• Hwang, C. L., Y. J. Lai, and T. Y. Liu. 1993. “A New Approach for Multiple Objective Decision Making.” Computers and Operational Research 20: 889–899.10.1016/0305-0548(93)90109-V
   Web of Science ®Google Scholar
• Kampe, S. L. 2001. “Incorporating Green Engineering in Materials Selection and Design”. In Proceedings of the 2001 Green Engineering Conference: Sustainable and Environmentally-conscious Engineering, Virginia Tech’s College of Engineering and the U.S. Environmental Protection Agency, Roanoke, VA.
   Google Scholar
• Khabbaz, R. S., B. D. Manshadi, A. Abedian, and R. Mahmudi. 2009. “A Simplified Fuzzy Logic Approach for Materials Selection in Mechanical Engineering Design.” Materials and Design 30: 687–697.10.1016/j.matdes.2008.05.026
   Web of Science ®Google Scholar
• Krohling, R. A., and V. C. Campanharo. 2011. “Fuzzy TOPSIS for Group Decision Making: A Case Study of Accident with Oil Spill in the Sea.” Expert Systems with Applications 38: 4190–4197.10.1016/j.eswa.2010.09.081
   Web of Science ®Google Scholar
• Manshadi, B. D., H. Mahmudi, A. Abedian, and R. Mahmudi. 2007. “A Novel Method for Materials Selection in Mechanical Design: Combination of Non-linear Normalization and a Modified Digital Logic Method.” Materials and Design 28: 8–15.10.1016/j.matdes.2005.06.023
   Web of Science ®Google Scholar
• Mayyas, A. T., A. Qattawi, and M. A. Omar. 2012. “Material Selection Methodology for Sustainable Lightweight Body-in-white Design.” Journal of Sustainable Manufacturing 2 (4): 317–337.10.1504/IJSM.2012.048586
   Google Scholar
• Mayyas, A. T., A. Qattawi, M. A. Omar, and D. Shan. 2012. “Design for Sustainability in Automotive Industry: A Comprehensive Review.” Renewable and Sustainable Energy Reviews 16 (4): 1845–1862.10.1016/j.rser.2012.01.012
   Web of Science ®Google Scholar
• McAuley, J. 2003. “Global Sustainability and Key Needs in Future Automotive Design.” Environmental Science and Technology 37: 5414–5416.10.1021/es030521x
   PubMed Web of Science ®Google Scholar
• Olson, D. L. 2004. “Comparison of Weights in TOPSIS Models.” Journal of Mathematical and Computer Modelling 40: 721–727.10.1016/j.mcm.2004.10.003
   Web of Science ®Google Scholar
• Rao, R. V., and J. P. Davim. 2008. “A Decision-making Framework Model for Material Selection Using a Combined Multiple Attribute Decision-making Method.” International Journal of Advanced Manufacturing Technology 35: 751–760.10.1007/s00170-006-0752-7
   Web of Science ®Google Scholar
• Rao, R. V. 2008. “A Decision Making Methodology for Material Selection Using an Improved Compromise Ranking Method.” Materials & Design 29 (10): 1949–1954.
   Web of Science ®Google Scholar
• Shanian, A., and O. Savadogo. 2006. “A Non-compensatory Compromised Solution for Material Selection of Bipolar Plates for Polymer Electrolyte Membrane Fuel Cell (PEMFC) Using ELECTRE. IV.” Electrochima Acta 51: 5307–5315.10.1016/j.electacta.2006.01.055
   Web of Science ®Google Scholar
• Sodhi, B., and T. V. Prabhakar. 2012. A Simplified Description of Fuzzy TOPSIS. Accessed October 08, 2013. http://arxiv.org/pdf/1205.5098v1.pdf
   Google Scholar
• Wegst, G. K., and M. F. Ashby. 1998. “The Development and Use of a Methodology for the Environmentally-conscious Selection of Materials.” In Proceedings of the Third World Conference on Integrated Design and Process Technology (IDPT), Berlin, Germany. Vol. 5, 88–93.
   Google Scholar
• Zadeh, L. 1965. “Fuzzy Sets.” Information and Control 8: 338–353.10.1016/S0019-9958(65)90241-X
   Web of Science ®Google Scholar
• Zhou, C. C., G. F. Yin, and X. B. Hu. 2009. “Multi-objective Optimization of Material Selection for Sustainable Products: Artificial Neural Networks and Genetic Algorithm Approach.” Materials and Design 30: 1209–1215.10.1016/j.matdes.2008.06.006
   Web of Science ®Google Scholar