Abstract
This paper describes a combined approach to the intelligent evaluation problem of E-commerce sites. The methodology of adaptive neural networks with fuzzy inference was used. A model of a neural network was proposed, in the frame of which expert fuzzy reasoning and rigorous mathematical methods were jointly used. The intelligent system with fuzzy inference was realized based on the model in Matlab software environment. It shows that the system is an effective tool for the quality analysis process modelling of the given type of sites. It also shows that the convenient and powerful tool is much better than the traditional artificial neural network for the simulation of sites evaluation.
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Liu, H., Krasnoproshin, V.V. (2014). Quality Evaluation of E-commerce Sites Based on Adaptive Neural Fuzzy Inference System. In: Golovko, V., Imada, A. (eds) Neural Networks and Artificial Intelligence. ICNNAI 2014. Communications in Computer and Information Science, vol 440. Springer, Cham. https://doi.org/10.1007/978-3-319-08201-1_9
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DOI: https://doi.org/10.1007/978-3-319-08201-1_9
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08200-4
Online ISBN: 978-3-319-08201-1
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