Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
755933 | Communications in Nonlinear Science and Numerical Simulation | 2011 | 8 Pages |
Abstract
⺠Our recently developed CMARS is powerful in handling complex, heterogeneous data. ⺠We include into CMARS the existence of uncertainty about the scenarios. ⺠We refine our CMARS algorithm by a robust optimization technique. ⺠We represent the new robust CMARS in theory and method. ⺠We represent our RCMARS results with different uncertainty scenarios.
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Authors
AyÅe Ãzmen, Gerhard Wilhelm Weber, İnci Batmaz, Erik Kropat,