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  • 标题:Chebyshev Approximate Solution to Allocation Problem in Multiple Objective Surveys with Random Costs
  • 本地全文:下载
  • 作者:Mohammed Faisal khan ; Irfan Ali ; Qazi Shoeb Ahmad
  • 期刊名称:American Journal of Computational Mathematics
  • 印刷版ISSN:2161-1203
  • 电子版ISSN:2161-1211
  • 出版年度:2011
  • 卷号:1
  • 期号:4
  • 页码:247-251
  • DOI:10.4236/ajcm.2011.14029
  • 出版社:Scientific Research Publishing
  • 摘要:In this paper, we consider an allocation problem in multivariate surveys as a convex programming problem with non-linear objective functions and a single stochastic cost constraint. The stochastic constraint is converted into an equivalent deterministic one by using chance constrained programming. The resulting multi-objective convex programming problem is then solved by Chebyshev approximation technique. A numerical example is presented to illustrate the computational procedure.
  • 关键词:Chance Constrained Programming; Multivariate Stratified Sampling; Optimum Allocation; Chebyshev Approximation
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