Soft Covering Entropy and Its Applications in Multi-attribute Group Decision-Making
WU Jiaming1, HUANG Zhehuang1, LI Jinjin1,2, LIU Danyue1, WU Zhe1
1. School of Mathematical Sciences, Huaqiao University, Quan-zhou 362021 2. School of Mathematics and Statistics, Minnan Normal University, Zhangzhou 363000
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.
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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2021, Vol. 34 
