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 :
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