Evaluating the Electric Plant Construction Projects Using an Adaptive Neuro-Fuzzy Inference System

Author

Liu, Zhibin ; Shen, Peng

Author_Institution

Econ. & Manage. Dept., North China Electr. Power Univ., Baoding

fYear

2008

fDate

12-14 Oct. 2008

Firstpage

1

Lastpage

4

Abstract

The electric plant construction projects evaluation is a complex, multi-factor, multi-index decision-making problem. In order to evaluate the construction projects scientifically and accurately, this paper proposes the evaluating model based on the adaptive neuro-fuzzy inference system (ANFIS). The ANFIS avoids the fuzziness characteristic of the projects information itself and the circumstances of the neural network cannot express the fuzzy language. The evaluation of 10 electric plant construction projects in National Electric Company shows that the emulation results given by this model are effective and feasible.

Keywords

construction industry; electric power generation; fuzzy systems; inference mechanisms; neural nets; adaptive neuro-fuzzy inference system; decision-making problem; electric plant construction projects; fuzziness characteristic; fuzzy language; neural network; Adaptive systems; Economic forecasting; Environmental economics; Fuzzy control; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Neural networks; Power generation economics; Power system economics;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on

Conference_Location

Dalian

Print_ISBN

978-1-4244-2107-7

Electronic_ISBN

978-1-4244-2108-4

Type

conf

DOI

10.1109/WiCom.2008.1812

Filename

4680001