不协调广义多尺度决策系统的局部最优尺度组合选择

doi:10.16451/j.cnki.issn1003-6059.202108002

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Abstract To investigate knowledge acquisition for objects in inconsistent generalized multi-scale decision systems, the concept of local optimal scale combination is presented. Firstly, the notion of scale combination in a generalized multi-scale information system is introduced. Information granules with different scale combinations as well as their relationships from generalized multi-scale information systems are formulated. Lower and upper approximations of sets with different scale combinations in generalized multi-scale information systems are further constructed and their properties are examined. Finally, concepts of seven types of local optimal scale combinations for an object in an inconsistent generalized multi-scale decision system are defined and their relationships are clarified. It is proved that there are five different types of local optimal scale combinations in fact.

Key words： Granular Computing Information System Scale Combination Multi-scale Information System Rough Set

Received: 07 May 2021

ZTFLH:

TP 18

Fund:National Natural Science Foundation of China(No.61976194,41631179,62076221)

Corresponding Authors: WU Weizhi, Ph.D., professor. His research interests include rough set, granular computing,data mining and artificial intelligence.

About author:: SUN Yu, master student. Her research interests include rough set and granular computing.WANG Xia, Ph.D., associate professor. Her research interests include concept lattice, rough set and granular computing.ZHENG Jiawen, master student. Her research interests include rough set and granular computing.

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Cite this article:

WU Weizhi,SUN Yu,WANG Xia等. Local Optimal Scale Combination Selections in Inconsistent Generalized Multi-scale Decision Systems[J]. , 2021, 34(8): 689-700.

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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.202108002 OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2021/V34/I8/689

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