DocumentCode :
2144355
Title :
Organizational Project Selection Based on Fuzzy Multi-Index Evaluation and BP Neural Network
Author :
Bai, Sijun ; Li, Suike ; Feng, Rong ; Guo, Yuntao
Author_Institution :
Sch. of Manage., Northwestern Polytech. Univ., Xi´´an, China
fYear :
2010
fDate :
24-26 Aug. 2010
Firstpage :
1
Lastpage :
5
Abstract :
Project selection is the key to organizational survival and development. Through surveys and interviews, the project evaluation index system is established from the fore aspects based on the Balanced Scorecard (BSC). Then the fuzzy multi-index evaluation method and the neural network theory are combined to create the BP neural network model of organizational project selection. Finally, the application process and effectiveness of the model are described and confirmed through some samples and a Matlab simulation example.
Keywords :
backpropagation; fuzzy set theory; neural nets; organisational aspects; project management; BP neural network; Matlab simulation; balanced scorecard; fuzzy multiindex evaluation; organizational development; organizational project selection; organizational survival; project evaluation index system; Artificial neural networks; Indexes; Mathematical model; Natural languages; Organizations; Project management; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management and Service Science (MASS), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5325-2
Electronic_ISBN :
978-1-4244-5326-9
Type :
conf
DOI :
10.1109/ICMSS.2010.5576020
Filename :
5576020
Link To Document :
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