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- research-articleOctober 2015
A Regularized Monotonic Fuzzy Support Vector Machine Model for Data Mining With Prior Knowledge
IEEE Transactions on Fuzzy Systems (TOFS), Volume 23, Issue 5Pages 1713–1727https://doi.org/10.1109/TFUZZ.2014.2374214Incorporating prior knowledge into data mining is an interesting but challenging problem, and this study proposes a novel fuzzy support vector machine (SVM) model to explore this issue. It considers the fact that in many applications, each input point may ...
- ArticleSeptember 2010
Fuzzy chance constrained support vector machine
This paper aims to improve the performance of the widely used fuzzy support vector machine (FSVM) model. By introducing a fuzzy possibility measure, we first modify the original inequality constraints of FSVM optimization model as chance constraints. We ...
- ArticleAugust 2009
Hybrid Fuzzy SVM Model Using CART and MARS for Credit Scoring
IHMSC '09: Proceedings of the 2009 International Conference on Intelligent Human-Machine Systems and Cybernetics - Volume 02Pages 392–395https://doi.org/10.1109/IHMSC.2009.221Credit scoring model development became a very important issue as the credit industry has many competitions. Therefore, most credit scoring models have been widely studied in the areas of statistics to improve the accuracy of credit scoring models during ...
- ArticleNovember 2006
A computer-aided driving posture prediction system based on driver comfort
ICAT'06: Proceedings of the 16th international conference on Advances in Artificial Reality and Tele-ExistencePages 1088–1097https://doi.org/10.1007/11941354_113The objective of this study was the application of driving comfort for the prediction of the driver’s posture. At the first, triangular type membership function was introduced to depict the driver’s feeling of comfort for the uncertain meaning of “...
