Title :
Application of Rough Sets and Data Envelopment Analysis in Performance Decision-Making of Oil Supply Chain Enterprise
Author :
Shi, Cheng-dong ; Bian, Dun-xin
Author_Institution :
Sch. of Electr. & Electron. Eng., Shandong Univ. of Technol., Zibo, China
Abstract :
With the theory and method of rough sets, which could be used to discretize the performance evaluation index of oil supply chain enterprise, design decision-making table, establish heuristic attribute reduction algorithm, the performance evaluation index system of oil supply chain enterprise was optimized and reduced. Then, by use of the data envelopment analysis (DEA) model, the relative effectiveness of 26 year input-output case (decision-making unit) was analyzed, the reasons of poor performance were found, and the management information about how to adjust the input-output index was put forward. In addition to, the imperfection of performance evaluation index system and irrationality of statistical data is analyzed.
Keywords :
data envelopment analysis; decision making; rough set theory; supply chain management; data envelopment analysis; decision making; heuristic attribute reduction algorithm; oil supply chain enterprise; performance evaluation index system; rough set theory; Algorithm design and analysis; Data envelopment analysis; Decision making; Design optimization; Heuristic algorithms; Information analysis; Performance analysis; Petroleum; Rough sets; Supply chains;
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
DOI :
10.1109/AICI.2009.195
