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

Volume

1

fYear

2009

fDate

7-8 Nov. 2009

Firstpage

63

Lastpage

67

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/AICI.2009.195

Filename

5376009