摘要
结合软覆盖与信息熵,提出软覆盖信息熵.定义软覆盖信息熵、软覆盖联合熵、软覆盖条件熵,并研究这些熵之间的关系及它们的重要性质.最后给出两种基于软覆盖条件熵的多属性群决策的算法,举例说明这两种算法的结果具有一致性.
Information entropy and soft coverings are combined to propose soft covering information entropy.Soft covering information entropy,soft covering joint entropy and soft covering conditional entropy are defined.The relationships between these entropies and their important properties are studied.Two kinds of algorithms for multi-attribute group decision making based on soft covering conditional entropy are presented,and the consistency between the results of these two algorithms is illustrated by examples.
作者
吴家明
黄哲煌
李进金
刘丹玥
吴哲
WU Jiaming;HUANG Zhehuang;LI Jinjin;LIU Danyue;WU Zhe(School of Mathematical Sciences,Huaqiao University,Quan-zhou 362021;School of Mathematics and Statistics,Minnan Normal University,Zhangzhou 363000)
出处
《模式识别与人工智能》
CSCD
北大核心
2021年第6期541-551,共11页
Pattern Recognition and Artificial Intelligence
基金
国家自然科学基金项目(No.11871259)
福建省自然科学基金项目(No.2020J02043,2017J01114)资助。
关键词
软覆盖
信息熵
条件熵
多属性群决策
Soft Covering
Information Entropy
Conditional Entropy
Multi-attribute Group Decision-Making
