Using multiattribute utility theory to avoid bad outcomes by focusing on the best systems in ranking and selection. Merrick, J.&nbsp;R.<nbsp>W.; Morrice, D.&nbsp;J.; and Butler, J.&nbsp;C. J. Simulation, 9(3):238-248, 2015.
Using multiattribute utility theory to avoid bad outcomes by focusing on the best systems in ranking and selection. [link]Link  Using multiattribute utility theory to avoid bad outcomes by focusing on the best systems in ranking and selection. [link]Paper  bibtex   
@article{ journals/jos/MerrickMB15,
  added-at = {2015-08-20T00:00:00.000+0200},
  author = {Merrick, Jason R. W. and Morrice, Douglas J. and Butler, John C.},
  biburl = {http://www.bibsonomy.org/bibtex/20325da331fcf7b19ac62d0304ebdbd5e/dblp},
  ee = {http://dx.doi.org/10.1057/jos.2014.34},
  interhash = {c2a4663c7531a44c5271b631671a8ec4},
  intrahash = {0325da331fcf7b19ac62d0304ebdbd5e},
  journal = {J. Simulation},
  keywords = {dblp},
  number = {3},
  pages = {238-248},
  title = {Using multiattribute utility theory to avoid bad outcomes by focusing on the best systems in ranking and selection.},
  url = {http://dblp.uni-trier.de/db/journals/jos/jos9.html#MerrickMB15},
  volume = {9},
  year = {2015}
}
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