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Mechanical Engineering Vocational English Education Based on ESP Theory Read chapter Read first chapter

2013 | OriginalPaper | Chapter

72. Use Fuzzy SVM Mining Customers’ Opinion Trends from Their Feedbacks

Author : Deli Zhu

Published in: Proceedings of the International Conference on Information Engineering and Applications (IEA) 2012

Publisher: Springer London

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Abstract

Developed a prediction model based on customers’ feedbacks. Customers’ feedbacks are collected by asking to assign one most suitable class labels to each product sample. After analyzing form feature of product samples and collecting customers’ evaluation data, a fuzzy SVM model is constructed. Two standard kernel functions including polynomial kernel and Gaussian kernel are used and compared their performance. The experimental results show that the performance of Gaussian kernel model is better than polynomial model.

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previous chapter Face Recognition by Nonsubsampled Contourlet Transform and Support Vector Machine
next chapter A New Method for Ranking Canonical Intuitionistic Fuzzy Numbers
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Metadata
Title
Use Fuzzy SVM Mining Customers’ Opinion Trends from Their Feedbacks
Author
Deli Zhu
Copyright Year
2013
Publisher
Springer London
Book
Proceedings of the International Conference on Information Engineering and Applications (IEA) 2012

Print ISBN: 978-1-4471-4855-5

Electronic ISBN: 978-1-4471-4856-2

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-1-4471-4856-2_72