软覆盖熵及其在多属性群决策中的应用

doi:10.16451/j.cnki.issn1003-6059.202106006

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Abstract 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.

Key words： Soft Covering Information Entropy Conditional Entropy Multi-attribute Group Decision-Making

Received: 03 February 2021

ZTFLH:

TP 301

Fund:National Natural Science Foundation of China(No.11871259), Natural Science Foundation of Fujian Province(No.2020J02043,2017J01114)

Corresponding Authors: HUANG Zhehuang, Ph.D., associate professor. His research interests include rough set and granular computing.

About author:: WU Jiaming, master student. His research interests include rough set, uncertainty analysis and its application.
LI Jinjin, Ph.D., professor.His research interests include topology, rough set and concept lattice.
LIU Danyue, master student. Her research interests include rough set, uncertainty analysis and its application.
WU Zhe, master, lecturer. Her research interests include image processing, machine vision and pattern recognition.

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Cite this article:

WU Jiaming,HUANG Zhehuang,LI Jinjin等. Soft Covering Entropy and Its Applications in Multi-attribute Group Decision-Making[J]. , 2021, 34(6): 541-551.

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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.202106006 OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2021/V34/I6/541

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