期刊
APPLIED MATHEMATICS AND COMPUTATION
卷 348, 期 -, 页码 487-512出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.amc.2018.12.018
关键词
Intuitionistic fuzzy sets; Multi-scale decision tables; Optimal scale selection; Reduction; Rough sets
资金
- Natural Science Foundation of China [61473157, 71671086, 61170105, 71201076]
- Priority Academic Program Development of Jiangsu Higher Education Institutions
To represent the structure of data measured at different granularity levels hierarchically, the concept of multi-scale information table or decision table has been presented from the perspective of granular computing. In this study, we mainly address the issue of optimal scale selection and rule acquisition in dominance-based multi-scale intuitionistic fuzzy (IF) decision tables. By considering a type of decision systems where condition attributes are taken as dominant IF values and those of decision attributes are symbolic dominance ones, we propose two dominance-based rough sets in multi-scale IF decision tables and discuss their optimal scale selection and rule acquisition algorithms, which are used to acquire decision rules for information system security auditing risk judgment for certified information systems auditors, candidate global supplier selection, and car classification. Unlike in the existing literature, the selection of the optimal scales and reduction are simultaneously performed in the viewpoint of local and global approximations in dominance-based multi-scale IF decision tables. (C) 2018 Elsevier Inc. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据