• DocumentCode
    120069
  • Title

    Optimal Selection of Science & Technology Projects of Oilfield Enterprise under Uncertainty

  • Author

    Gaoyang Lv ; Yu Hu ; Shusong Li ; Xin Jin

  • Author_Institution
    Sch. of Econ. & Manage., China Univ. of Pet., Qingdao, China
  • fYear
    2014
  • fDate
    4-6 July 2014
  • Firstpage
    96
  • Lastpage
    99
  • Abstract
    An evaluation index system including three aspects and ten indexes is established. For the scientific development of oilfield enterprise, optimal selection of science & technology projects has great significance and which are mostly uncertain. Based on the presentation of interval number of indexes, the interval number sorting model, TOPSIS model and projection model, optimal projects selection was constructed, and a Borda method was proposed to combine evaluation to achieve consistent sorting results. An example shows that the model can improve the scientificity and efficiency of optimal selection of oilfield science & technology projects effectively.
  • Keywords
    TOPSIS; natural gas technology; petroleum industry; project management; Borda method; TOPSIS model; evaluation index system; interval index number; interval number sorting model; oilfield enterprise; optimal projects selection; projection model; science & technology projects; Companies; Educational institutions; Indexes; Modeling; Optimization; Sorting; Uncertainty; interval number; oilfield enterprise; optimal selection; science & technology projects; uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Sciences and Optimization (CSO), 2014 Seventh International Joint Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-5371-4
  • Type

    conf

  • DOI
    10.1109/CSO.2014.27
  • Filename
    6923644