Partner selection of construction supply chain based on rough set and BP neural network

Author

Liu, Zhiqiang ; Liu, Chen

Author_Institution

Sch. of Econ. & Manage., Hebei Univ. of Eng., Handan, China

fYear

2010

fDate

16-18 April 2010

Firstpage

354

Lastpage

358

Abstract

Application of constructon supply chain can increase construction enterprises´ profits and enhance the core competitiveness. Under the condition of construction supply chain, the correct evaluation and selection of partners are the key to success. This paper establishes a partner evaluation system and proposes a kind of artificial intelligence method for the partners evaluation, combining with the advantages of rough set and BP neural network. An example is applied to verify its scientific and feasibility. It can give some beneficial references for the decision-makers of constructon supply chain management.

Keywords

artificial intelligence; backpropagation; construction industry; rough set theory; supply chain management; BP neural network; artificial intelligence; construction supply chain; partner evaluation system; partner selection; rough set; Artificial intelligence; Artificial neural networks; Construction industry; Electronic mail; Engineering management; Neural networks; Radio spectrum management; Subcontracting; Supply chain management; Supply chains; construction supply chain; neural network; partners; rough set;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-5263-7

Electronic_ISBN

978-1-4244-5265-1

Type

conf

DOI

10.1109/ICIME.2010.5477815

Filename

5477815