DocumentCode :
2731315
Title :
Business data modelling and forecasting with the use of fuzzy neural networks
Author :
Gorzalczany, Marian B.
Author_Institution :
Dept. of Electr. & Comput. Eng., Kielce Univ., Poland
Volume :
2
fYear :
1998
fDate :
7-10 Jul 1998
Firstpage :
396
Abstract :
The first goal of this paper is to briefly present a methodology for complex system modelling which can utilize both quantitative (numerical) and qualitative (linguistic, fuzzy) types of knowledge which usually contribute to the description of the behaviour of the system. This methodology is based on fuzzy neural networks. An inference and forecasting engine designed with the use of the proposed fuzzy neural network is also presented. The second goal of this paper is the application of the proposed methodology to modelling of the data describing the level of sales in relation to the changes of a leading indicator. The data is typical of that arising in business forecasting
Keywords :
commerce; fuzzy neural nets; inference mechanisms; large-scale systems; business data forecasting; business data modelling; complex system modelling; forecasting engine; fuzzy neural networks; inference engine; qualitative knowledge; quantitative knowledge; Engines; Fuzzy neural networks; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Marketing and sales; Mathematical model; Multi-layer neural network; Neural networks; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, 1998. Proceedings. ISIE '98. IEEE International Symposium on
Conference_Location :
Pretoria
Print_ISBN :
0-7803-4756-0
Type :
conf
DOI :
10.1109/ISIE.1998.711554
Filename :
711554
Link To Document :
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