Applying Multi-Criteria Decision Classifier in Multi-Class Classification

摘要：

Multi-criteria decision-making (MCDM) is one of the most widely used decision methodologies in the sciences, business, government and engineering fields. The goal of this research is to extend multicriteria decision-making method to multi-class classification problem. Multi-criteria decision classifier (MCDC) is a new classifier and is proposed by this research for dealing with multi class classification problem. The application of MCDC is that it can consider as a weak classifier for adaboost classifier although the accurate rate of MCDC is worst than back-propagation neural network (BPNN). This study will make an example to implement and compare the proposed method with BPNN, KNN and Bayesian classifier. Finally, we will make a conclusion and future research.

关键词： MCDM Prediction Multi-Class Classification

作者: Chen-Tung Chen Ping-Feng Pai Wei-Zhan Hung

作者单位: Department of Information Management, National United University, Miao-Li, Taiwan Department of Information Management, National Chi Nan University Nan-Tou, Taiwan Department of International Business Studies, National Chi Nan University, Nan-Tou, Taiwan

会议类型: 国际会议

会议名称: 2011 Eighth International Conference on Fuzzy System and Knowledge Discovery(第八届模糊系统与知识发现国际会议 FSKD 2011)

会议地点: 上海

会议语种:英文

页码: 626-629

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）