Title : ( Support Vector Regression with Fuzzy Target Output )
Authors: yahya forghani , Hadi Sadoghi Yazdi , Sohrab Effati ,
Full TextAbstract
In this paper, we incorporate the concept of fuzzy set theory into the support vector regression (SVR). In our proposed method, target outputs of training samples are considered to be fuzzy numbers and then, membership function of actual output (objective hyperplane in high dimensional feature space) is obtained. Two main properties of our proposed method are: (1) membership function of actual output can be obtained without pre-assumption on type of membership function of the bias term and the components of weight vector; (2) the membership function of target output can be each type of fuzzy number.
Keywords
Fuzzy target output; Fuzzy weight; Fuzzy bias; Support vector regression (SVR).
@inproceedings{paperid:1024564,
author = {Forghani, Yahya and Sadoghi Yazdi, Hadi and Effati, Sohrab},
title = {Support Vector Regression with Fuzzy Target Output},
booktitle = {ICCKE2011, International Conference on Computer and Knowledge Engineering},
year = {2011},
location = {IRAN},
keywords = {Fuzzy target output; Fuzzy weight; Fuzzy bias;
Support vector regression (SVR).},
}
%0 Conference Proceedings
%T Support Vector Regression with Fuzzy Target Output
%A Forghani, Yahya
%A Sadoghi Yazdi, Hadi
%A Effati, Sohrab
%J ICCKE2011, International Conference on Computer and Knowledge Engineering
%D 2011
