scholarly journals A Solving Algorithm of Fuzzy Support Vector Machines Based on Determination of Membership

Author(s):  
Hua Duan ◽  
Yanmei Hou
2013 ◽  
Vol 756-759 ◽  
pp. 3399-3403
Author(s):  
Hua Duan ◽  
Yan Mei Hou

In order to overcome the issues that Support Vector Machine is sensitive to the outlier and noise points, Fuzzy Support Vector Machine (FSVM) is proposed. The key issue to solve the FSVM is determinate the fuzzy membership. This paper gives an overview of construction algorithm of the fuzzy membership. We also give an algorithm to solve FSVM that is derived from improved-SMO algorithm.


2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Guang-Yih Sheu

Concluding the conformity of XBRL (eXtensible Business Reporting Language) instance documents law to the Benford's law yields apparently different results before and after a company's financial distress. These results bring an idea of finding fraudulent documents from the inspection of financial ratios since the unacceptable conformity implies a large likelihood of a fraudulent document. Fuzzy support vector machines models are developed to implement such an idea. The dependent variable is a fuzzy variable quantifying the conformity of an XBRL instance document to the Benford's law; whereas, independent variables are financial ratios. Nevertheless, insufficient data are available to define any membership function for describing the fuzziness in independent and dependent variables, but the interval factor method is introduced to express that fuzziness. Using the resulting fuzzy support vector machines model, it is suggested that the price-to-book ratio versus equity ratio may be used to classify the priority of auditing XBRL instance documents. The misclassification rate is less than 30 \%. In conclusion, a new and promising application of fuzzy support vector machines algorithm has been found in this study.


2011 ◽  
Vol 2 (3) ◽  
pp. 592 ◽  
Author(s):  
Ishan Barman ◽  
Narahara Chari Dingari ◽  
Narasimhan Rajaram ◽  
James W. Tunnell ◽  
Ramachandra R. Dasari ◽  
...  

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