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  • 标题:Unbalanced Bidding Problem with Fuzzy Random Variables
  • 本地全文:下载
  • 作者:Dongran Zang ; Liang Lin ; Xingzi Liu
  • 期刊名称:International Business Research
  • 印刷版ISSN:1913-9004
  • 电子版ISSN:1913-9012
  • 出版年度:2009
  • 卷号:2
  • 期号:1
  • 页码:175
  • DOI:10.5539/ibr.v2n1P175
  • 出版社:Canadian Center of Science and Education
  • 摘要:Unbalanced bidding problem with mixed uncertainty of fuzziness and randomness is considered in this paper, where the bidding engineering quantities of each activity are assumed to be fuzzy random variables. Two types of fuzzy random models as expected value maximization model and maximax chance-constrained model are built to satisfy different optimization requirements. Then a hybrid intelligent algorithm integrating fuzzy random simulations, neural network and genetic algorithm is designed to solve these models. Finally, a numerical experiment is given to illustrate its effectiveness of the algorithm. The results show that the algorithm is feasible and effective.
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