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10th IEEE International Enterprise Distributed Object Computing Conference Workshops (EDOCW'06)
Modeling for Investment Guidance as a Performance Pre-assessment Method of Enterprise Integration
Hong Kong, China
October 16-October 20
ISBN: 0-7695-2743-4
ASCII Text
x 
 
Jian Zhou, Qing Li, DaFeng Xu, TianYuan Xiao, "Modeling for Investment Guidance as a Performance Pre-assessment Method of Enterprise Integration," Enterprise Distributed Object Computing Workshops, International Conference on, pp. 25, 10th IEEE International Enterprise Distributed Object Computing Conference Workshops (EDOCW'06), 2006.
 
 
BibTex
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@article{ 10.1109/EDOCW.2006.49,
author = {Jian Zhou and Qing Li and DaFeng Xu and TianYuan Xiao},
title = {Modeling for Investment Guidance as a Performance Pre-assessment Method of Enterprise Integration},
journal ={Enterprise Distributed Object Computing Workshops, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2743-4},
pages = {25},
doi = {http://doi.ieeecomputersociety.org/10.1109/EDOCW.2006.49},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Enterprise Distributed Object Computing Workshops, International Conference on
TI - Modeling for Investment Guidance as a Performance Pre-assessment Method of Enterprise Integration
SN - 0-7695-2743-4
SP
EP
A1 - Jian Zhou,
A1 - Qing Li,
A1 - DaFeng Xu,
A1 - TianYuan Xiao,
PY - 2006
KW - null
VL - 0
JA - Enterprise Distributed Object Computing Workshops, International Conference on
ER -
 
Jian Zhou, National University of Defense Technology, Changsha, 410073, P. R. China
Qing Li, Tsinghua University, Beijing, 100084, P. R. China
DaFeng Xu, Tsinghua University, Beijing, 100084, P. R. China
TianYuan Xiao, Tsinghua University, Beijing, 100084, P. R. China
Current enterprise performance research focuses on the post-assessment and is always lack of approaches about the necessary pre-assessment. In this paper a modeling method for investment guidance of enterprise integration is proposed, which is a significant pre-assessment method. Because of the numerous dynamic and subjective indicators of performance, modeling method presented in this paper is mainly based on the fuzzy rule for its natural advantages in this area. Firstly, considering the research requirements discussed in the literature review, the performance modeling framework for investment guidance is put forward grounded on the process model. Secondly, the original motivation to employ the fuzzy logic method is discussed and a theorem with logical criteria is suggested for conflict and redundancy validation of fuzzy rules which is necessary for performance modeling. Finally, the model for investment guidance is constructed and then a non-linear programming model is formulated to optimize the investment of enterprise integration.
Citation:
Jian Zhou, Qing Li, DaFeng Xu, TianYuan Xiao, "Modeling for Investment Guidance as a Performance Pre-assessment Method of Enterprise Integration," edocw, pp.25, 10th IEEE International Enterprise Distributed Object Computing Conference Workshops (EDOCW'06), 2006
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