Journal
ARTIFICIAL INTELLIGENCE REVIEW
Volume 55, Issue 3, Pages 1821-1855Publisher
SPRINGER
DOI: 10.1007/s10462-021-10053-9
Keywords
Dynamic updating; Local rough set; Multigranulation rough set; Granular computing; Ordered information system
Categories
Funding
- National Natural Science Foundation of China [61772002, 61976245]
- Scientific and Technological Project of Construction of Double City Economic Circle in Chengdu-Chongqing Area [KJCX2020009]
- Open Project of Key Laboratory of Oceanographic Big Data Mining and Application of Zhejiang Province [OBDMA202003]
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This paper discusses the application of a local rough set model based on dominance relation in ordered information systems, as well as the construction of multigranulation rough set models and the updating process of dynamic objects. Experimental evaluation demonstrates the superiority and effectiveness of the proposed dynamic updating approaches in ordered information systems.
The main task of local rough set model is to avoid the interference of complicated calculation and invalid information in the formation of approximation space. In this paper, we first present a local rough set model based on dominance relation to make the local rough set theory applicable to the ordered information system, then two kinds of local multigranulation rough set models in the ordered information system are constructed by extending the single granulation environment to a multigranulation case. Moreover, the updating processes of dynamic objects based on global (classical) and local multigranulation rough sets in the ordered information system are analyzed and compared carefully. It is addressed about how the rough approximation spaces of global multigranulation rough set and local multigranulation rough set change when the object set increase or decrease in an ordered information system. The relevant algorithms for updating approximations with dynamic objects on global and local multigranulation rough sets are provided in ordered information systems. To illustrate the superiority and the effectiveness of the proposed dynamic updating approaches in the ordered information system, experimental evaluation is performed using six datasets coming from the University of California-Irvine repository.
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