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
Link To Document