Paper Titles

Study on Photocatalytic Degradation of Phenol by ZnO Thin Films
p.100

Structure and Optical Property of Cu₂O:N Thin Film Deposited by Reactive Pulse Magnetron Sputtering
p.104

Application of Nano Calcium Phosphate Biomaterials and Bone Tissue Engineering on in Exercise-Induced Injury
p.109

Distribution of Cotton in Rectangular Pipeline for Horizontal Foreign Fiber Removed Device
p.113

An Improved TOPSIS Method for Material Selection Model
p.120

Research on Material Properties and Soil Heavy Metal Pollution in Cities with Spread Evolution Model
p.127

Research on Waste Tubes Recycling with Material Properties in Wuhan
p.133

The Research of Conductive Polyaniline Doped by Composite Acids (Acetic Acid / Hydrochloric Acid)
p.137

Synthesis of P¹-Stavudine-P²-Zidovudine-5′,5′-Diphosphate
p.141

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 951An Improved TOPSIS Method for Material Selection...

An Improved TOPSIS Method for Material Selection Model

Article Preview

Abstract:

Material selection problem becomes an important issue in the material science field. It is important for design for mechanical, electrical, thermal, chemical et al. There are several influencing factors in the material selection process, and thus material selection problem is a multi-criteria decision making (MCDM) problem. Relative entropy measure can depict the closeness of the two systems, and then this paper will use it to develop an improved TOPSIS method for the material selection problem. Finally, a practical example is given to demonstrate that the proposed method is effective and feasible.

You might also be interested in these eBooks

Advanced Research on Intelligent System, Mechanical Design Engineering and Information Engineering III

Info:

Periodical:

Advanced Materials Research (Volume 951)

Pages:

120-123

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.951.120

Citation:

Cite this paper

Online since:

May 2014

Authors:

Wei Fan Huang*

Keywords:

Material Selection, Multi-Criteria Decision Making, Relative Entropy, TOPSIS

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] D. H. Jee, K. J. Kang. A method for optimal material selection aided with decision making theory, Materials & Design Vol. 21 (2000), pp.199-206.

DOI: 10.1016/s0261-3069(99)00066-7

[2] Deng Y.M., Edwards K.L. The role of materials identification and selection in engineering design, Materials & Design, Vol. 28, (2007) pp.131-139.

DOI: 10.1016/j.matdes.2005.05.003

[3] Hu-Chen Liu, Long Liu, Jing Wu. Material selection using an interval 2-tuple linguistic VIKOR method considering subjective and objective weights. Materials & Design, Vol. 52, (2013), pp.158-167.

DOI: 10.1016/j.matdes.2013.05.054

[4] P. Chatterjee, V. M. Athawale, S. Chakraborty. Materials selection using complex proportional assessment and evaluation of mixed data methods, Materials & Design, Vol. 32 (2011), pp.851-860.

DOI: 10.1016/j.matdes.2010.07.010

[5] A. Shanian, O. Savadogo TOPSIS multiple-criteria decision support analysis for material selection of metallic bipolar plates for polymer electrolyte fuel cell. Journal of Power Sources, Vol. 159, (2006), pp.1095-1104.

DOI: 10.1016/j.jpowsour.2005.12.092

[6] A. Shanian, O. Savadogo A material selection model based on the concept of multiple attribute decision making, Materials & Design, Vol. 27 (2006) pp.329-337.

DOI: 10.1016/j.matdes.2004.10.027

[7] R. V. Rao. Decision making methodology for material selection using an improved compromise ranking method. Materials & Design, Vol. 29 (2008) p.1949-(1954).

DOI: 10.1016/j.matdes.2008.04.019

[8] R. J. Girubha, S. Vinodh. Application of fuzzy VIKOR and environmental impact analysis for material selection of an automotive component. Materials & Design, Vol. 37 (2012), pp.478-486.

DOI: 10.1016/j.matdes.2012.01.022

[9] A. Kasaei, A. Abedian, A. S. Milani. An application of Quality Function Deployment method in engineering materials selection. Materials & Design, Vol. 55 (2014), pp.912-920.

DOI: 10.1016/j.matdes.2013.10.061

[10] P. Karande and S. Chakraborty. Application of multi-objective optimization on the basis of ratioanalysis (MOORA) method for materials selection. Materials & Design, Vol. 37 (2012), pp.317-324.

DOI: 10.1016/j.matdes.2012.01.013

[11] J. Jiang, Y. W. Chen, K. W. Yang, TOPSIS with fuzzy belief structure for group belief multiple criteria decision making, Expert Systems with Applications, Vol. 38 (2011), pp.9400-9406.

DOI: 10.1016/j.eswa.2011.01.128

[12] R. V. Rao, B. K. Patel, A subjective and objective integrated multiple attribute decision making method for material selection, Materials & Design, Vol. 31 (2010), pp.4738-4747.

DOI: 10.1016/j.matdes.2010.05.014

[13] A. Jahan, M. Bahraminasab, K. L. Edwards. A target-based normalization technique for materials selection. Materials & Design, Vol. 35 (2012), pp.647-654.

DOI: 10.1016/j.matdes.2011.09.005

[14] M. C. Thomas, J. A. Thomas, Elements of Information Theory, 2nd Edition, John Wiley & Sons, Inc., Hoboken, New Jersey, (2006).

[15] M. Zhao, W. H. Qiu, B. S. Liu, Relative entropy evaluation method for multiple attribute decision making, Control and Decision, Vol. 25 (2010) pp.1098-1100.