期刊
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
卷 7, 期 6, 页码 953-966出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s13042-014-0297-2
关键词
Linguistic rough set; Linguistic quantifier; Fuzzy; Multi criteria decision making; Approximation; Inclusion degree
We introduce linguistic rough set (LRS) by integrating linguistic quantifiers in the rough set framework. The proposed LRS is inspired by the ways in which humans process imprecise information. It operates directly with the linguistic summaries and caters to imprecision implicit in the real world with partial knowledge. The measures of LRS are developed and its properties are investigated in detail. An approach is proposed for approximation of fuzzy concepts with the proposed LRS. This approach is applied in a real world case-study on the credit scoring analysis problem.
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