DocumentCode
2998673
Title
Fuzzy BP neural network optimized by PSO for performance evaluation of the whole ecotype supply chain
Author
Huang, Yuansheng ; Qiu, Zilong ; Liu, Qingchao
Author_Institution
Dept. of Econ. & Manage., North China Electr. Power Univ., Baoding
fYear
2008
fDate
1-3 Sept. 2008
Firstpage
1598
Lastpage
1603
Abstract
The concept and characteristics of the ecotype supply chain are discussed in the paper firstly, and then a further improvement of performance evaluation index system of ecotype supply chain is made. Based on the above discussion, a fuzzy BP neural network evaluation method which optimized by PSO is established. Through an example, the proposed method is used to evaluate the performance of an ecotype supply chain according to the evaluation criteria, which offers effective decision-making approach for the sustainable development of the enterprises in the future market competition.
Keywords
backpropagation; decision making; ecology; fuzzy neural nets; particle swarm optimisation; performance index; supply chains; sustainable development; PSO; decision-making approach; ecotype supply chain; fuzzy BP neural network evaluation method; performance evaluation index system; sustainable development; Environmental economics; Environmental management; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Neural networks; Protection; Supply chain management; Supply chains; Sustainable development; Ecotype chain; Evaluation index system; Fuzzy BP neural network; PSO;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-2502-0
Electronic_ISBN
978-1-4244-2503-7
Type
conf
DOI
10.1109/ICAL.2008.4636409
Filename
4636409
Link To Document