Prior knowledge-based fuzzy Support Vector Regression

@article{Wang2008PriorKF,
  title={Prior knowledge-based fuzzy Support Vector Regression},
  author={Ling Wang and Zhi-Chun Mu and Hui Guo},
  journal={2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence)},
  year={2008},
  pages={392-395}
}
  • Ling Wang, Zhi-Chun Mu, Hui Guo
  • Published in
    IEEE International Conference…
    2008
  • Computer Science
  • A new method was proposed for incorporating prior knowledge in the form of fuzzy knowledge sets into Support Vector Machine for regression problem. The prior knowledge of Fuzzy IF-THEN rules can be transformed into fuzzy information to generate fuzzy kernel, based on which FSVR (Fuzzy Support Vector Regression) is introduced. The merit of FSVR is that it can incorporate with prior knowledge represented by fuzzy IF-THEN rules to improve the performance of the conventional SVR in incomplete… CONTINUE READING

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