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A multi-criteria group decision algorithm for policy analysis

Yun Shi (UGent) , Bart Van Gasse (UGent) , Da Ruan (UGent) and Etienne Kerre (UGent)
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Abstract
We propose a multi-criteria group decision making algorithm for policy analysis. We divide the experts into groups with minimal internal conflict, and rank the policy options for each of these groups.
Keywords
fuzzy implication, decision making, fuzzy inclusion, fuzzy similarity relation, similarity measure

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Citation

Please use this url to cite or link to this publication:

Chicago
Shi, Yun, Bart Van Gasse, Da Ruan, and Etienne Kerre. 2010. “A Multi-criteria Group Decision Algorithm for Policy Analysis.” In World Scientific Proceedings Series on Computer Engineering and Information Science, ed. Da Ruan, Tianrui Li, Yang Xu, Guoqing Chen, and Etienne Kerre, 4:832–837. Singapore, Singapore: World Scientific.
APA
Shi, Yun, Van Gasse, B., Ruan, D., & Kerre, E. (2010). A multi-criteria group decision algorithm for policy analysis. In Da Ruan, T. Li, Y. Xu, G. Chen, & E. Kerre (Eds.), World Scientific Proceedings Series on Computer Engineering and Information Science (Vol. 4, pp. 832–837). Presented at the 9th International FLINS conference on Computational Intelligence: Foundations and Applications, Singapore, Singapore: World Scientific.
Vancouver
1.
Shi Y, Van Gasse B, Ruan D, Kerre E. A multi-criteria group decision algorithm for policy analysis. In: Ruan D, Li T, Xu Y, Chen G, Kerre E, editors. World Scientific Proceedings Series on Computer Engineering and Information Science. Singapore, Singapore: World Scientific; 2010. p. 832–7.
MLA
Shi, Yun, Bart Van Gasse, Da Ruan, et al. “A Multi-criteria Group Decision Algorithm for Policy Analysis.” World Scientific Proceedings Series on Computer Engineering and Information Science. Ed. Da Ruan et al. Vol. 4. Singapore, Singapore: World Scientific, 2010. 832–837. Print.
@inproceedings{1999155,
  abstract     = {We propose a multi-criteria group decision making algorithm for policy analysis. We divide the experts into groups with minimal internal conflict, and rank the policy options for each of these groups.},
  author       = {Shi, Yun and Van Gasse, Bart and Ruan, Da and Kerre, Etienne},
  booktitle    = {World Scientific Proceedings Series on Computer Engineering and Information Science},
  editor       = {Ruan, Da and Li, Tianrui and Xu, Yang and Chen, Guoqing and Kerre, Etienne},
  isbn         = {9789814324694},
  keyword      = {fuzzy implication,decision making,fuzzy inclusion,fuzzy similarity relation,similarity measure},
  language     = {eng},
  location     = {Emei, PR China},
  pages        = {832--837},
  publisher    = {World Scientific},
  title        = {A multi-criteria group decision algorithm for policy analysis},
  url          = {http://dx.doi.org/10.1142/9789814324700\_0126},
  volume       = {4},
  year         = {2010},
}

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