NDLI: A Fuzzy Neural Network Model with Application to Telecommunications Business

Content Provider	IEEE Xplore Digital Library
Author	Yongping Li Rongjun Li
Copyright Year	2006
Description	Author affiliation: Sch. of Bus. Adm., South China Univ. of Technol., Guangzhou (Yongping Li; Rongjun Li)
Abstract	There are many factors involved in a revenue-forecasting problem of telecommunications business (TB), which are not independent and conflicted with each other. The traditional methods of forecasting TB revenues are based on regression analysis, but the precisions of the results are usually not satisfied in practice. In this study, statistical analysis is first used to evaluate factors and then the main factors are selected as inputs to construct a neural network model combined with fuzzy rules. Furthermore, the fuzzy neural network (FNN) model is applied to predict the revenue of a specific telecommunications business. The results indicate that the developed FNN model satisfies practical requirements and is possible to expand to other business applications, such as customers' evaluation and financial risk pre-warning. To make this clearer, an illustrative example is given for demonstration
Sponsorship	IEEE Comput. Soc. South China Univ. of Technol
Starting Page	112
Ending Page	117
File Size	316835
Page Count	6
File Format	PDF
ISBN	0769527515
DOI	10.1109/APSCC.2006.7
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Fuzzy sets Statistical analysis Neural networks Cities and towns Predictive models Fuzzy neural networks Economic forecasting Regression analysis Fuzzy systems
Content Type	Text
Resource Type	Article

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