数据采集与处理2018，Vol.33Issue(3)：477-486,10.DOI:10.16337/j.1004-9037.2018.03.011
基于置信规则库推理的二择众仓分类方法
Two-Value Judgment Classification Approach Based on Belief Rule-Base Reasoning
摘要
Abstract
The weight of antecedent attributes can′t work accurately in the linear combinational belief rule based system usually .Simultaneously ,with an increase in the number of evaluation ranks ,the new weight activation formula will have negative effects on results .Aiming at the above drawbacks ,this pa-per proposes a two-value and multi-base reasoning method based on the existing belief rule based infer-ence classification algorithm to improve the belief rule based decision system .The evaluation of belief rules in the conclusion is divided into two ranks firstly ,which means making a two-value judgment on a decision problem .Then many belief rule bases are set to solve some sub problems simultaneously .Final-ly results of many sub problems by multi-base reasoning method are mixed to solve the classification problem .Experimental results show the feasibility and effectiveness of the proposed belief rule base rea-soning classfication method .关键词
置信规则库/分类/二择众仓/证据推理/投票Key words
belief rule base/classification/two-value judgment/evidential reasoning/voting分类
信息技术与安全科学引用本文复制引用
方志坚,傅仰耿,陈建华..基于置信规则库推理的二择众仓分类方法[J].数据采集与处理,2018,33(3):477-486,10.基金项目
国家自然科学基金(71501047)资助项目 （71501047）
福建省自然科学基金(2015J1248)资助项目 （2015J1248）
福州大学科技发展基金(2014-XQ-26)资助项目. （2014-XQ-26）
