4.7 Article

Sequential three-way decisions via multi-granularity

期刊

INFORMATION SCIENCES
卷 507, 期 -, 页码 606-629

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2019.03.052

关键词

Decision-theoretic rough set model; Granular computing; Multigranulation; Sequential three-way decisions

资金

  1. National Natural Science Foundation of China [61741309, 61663002, 61673301, 61573235, 61563016]
  2. Qinglan Project of Jiangsu Province of China
  3. Jiangxi Province Natural Science Foundation of China [20181BAB202023, 20171BAB202034]

向作者/读者索取更多资源

Three-way decisions provide a trisecting-and-acting framework for complex problem solving. For a cost-sensitive decision-making problem under multiple levels of granularity, sequential three-way decisions have come into being. Within this framework, how to act upon the three pair-wise disjoint regions is the most important issue. To this end, we propose a generalized model of sequential three-way decisions via multi-granularity in this paper. Subsequently, we adopt the typical aggregation strategies to implement the following five kinds of multigranulation sequential three-way decisions the weighted arithmetic mean multigranulation sequential three-way decisions, the optimistic multigranulation sequential three-way decisions, the pessimistic multigranulation sequential three-way decisions, the pessimistic-optimistic multigranulation sequential three-way decisions and the optimistic-pessimistic multigranulation sequential three-way decisions. Furthermore, we discuss the rightness and rationality of the five kinds of multigranulation sequential three-way decisions and also analyze the relationships and differences between them. Finally, the experimental results demonstrate that the first four different multigranulation sequential three-way decisions are effective. These models will accelerate and enrich the development of multigranulation three-way decisions. (C) 2019 Elsevier Inc. All rights reserved.

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