Class Imbalance Learning Using Fuzzy SVM with Fuzzy Weighted Gaussian Kernel

被引：0
|
作者：
Janasruthi [1 ]
Katiyar, Kuldip [1 ]
机构：
[1] Chandigarh Univ, Dept Math, Mohali, Punjab, India
来源：
ADVANCED NETWORK TECHNOLOGIES AND INTELLIGENT COMPUTING, ANTIC 2023, PT IV | 2024年 / 2093卷
关键词：
SVM; FSVM; CIL; FSVM-CIL; Gaussian Kernel; FuzzyWeights; SUPPORT VECTOR MACHINES; CLASSIFICATION; SYSTEMS;
D O I：
10.1007/978-3-031-64067-4_12
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Support Vector Machines is a quite common algorithm to work with datasets which are balanced. In case of imbalanced datasets, SVM are resistant to irregularities with regard to dataset. On the other hand, CIL method is used to reduce the irregularities present. Again, fuzzy SVM also plays great role in manipulating the irregularities. In this paper, we imposed the fuzzy weighted kernel in evaluating the membership values and these memberships values are integrated into the objective function of SVM algorithm and develop the model and predict the overall results.
引用
收藏
页码：171 / 186
页数：16
相关论文
共 50 条
  • [1] Relative Density-Based Intuitionistic Fuzzy SVM for Class Imbalance Learning
    Fu, Cui
    Zhou, Shuisheng
    Zhang, Dan
    Chen, Li
    ENTROPY, 2023, 25 (01)
  • [2] A Kernel Clustering-Based Possibilistic Fuzzy Extreme Learning Machine for Class Imbalance Learning
    Shi-Xiong Xia
    Fan-Rong Meng
    Bing Liu
    Yong Zhou
    Cognitive Computation, 2015, 7 : 74 - 85
  • [3] A Kernel Clustering-Based Possibilistic Fuzzy Extreme Learning Machine for Class Imbalance Learning
    Xia, Shi-Xiong
    Meng, Fan-Rong
    Liu, Bing
    Zhou, Yong
    COGNITIVE COMPUTATION, 2015, 7 (01) : 74 - 85
  • [4] Affinity based fuzzy kernel ridge regression classifier for binary class imbalance learning
    Hazarika, Barenya Bikash
    Gupta, Deepak
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 117
  • [5] Class imbalance learning using fuzzy ART and intuitionistic fuzzy twin support vector machines
    Rezvani, Salim
    Wang, Xizhao
    INFORMATION SCIENCES, 2021, 578 (578) : 659 - 682
  • [6] KNN weighted reduced universum twin SVM for class imbalance learning
    Ganaie, M. A.
    Tanveer, M.
    Alzheimer's Disease Neuroimaging Initiative
    KNOWLEDGE-BASED SYSTEMS, 2022, 245
  • [7] SVM multi-class classification based on fuzzy kernel clustering
    Inst. of System Engineering, Dalian Univ. of Technology, Dalian 116024, China
    Xi Tong Cheng Yu Dian Zi Ji Shu/Syst Eng Electron, 2006, 5 (770-774):
  • [8] A fuzzy-weighted Gaussian kernel-based machine learning approach for body fat prediction
    Zongwen Fan
    Raymond Chiong
    Fabian Chiong
    Applied Intelligence, 2022, 52 : 2359 - 2368
  • [9] A fuzzy-weighted Gaussian kernel-based machine learning approach for body fat prediction
    Fan, Zongwen
    Chiong, Raymond
    Chiong, Fabian
    APPLIED INTELLIGENCE, 2022, 52 (03) : 2359 - 2368
  • [10] An adaptive fuzzy weight algorithm for the class imbalance learning problem
    Quang V.D.
    Khang T.D.
    International Journal of Intelligent Information and Database Systems, 2024, 16 (03) : 221 - 240
12345