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