A fuzzy similarity-based rough set approach for attribute selection in set-valued information systems-Reference-Cited by-同舟云学术

A fuzzy similarity-based rough set approach for attribute selection in set-valued information systems

Published:2019-07-23 Issue:6 Volume:24 Page:4675-4691
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Singh Shivani,Shreevastava Shivam^ORCID,Som Tanmoy,Somani Gaurav

Funder

Council of Scientific and Industrial Research

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00500-019-04228-4.pdf

Reference47 articles.

1. Blake CL (1998) UCI Repository of machine learning databases, Irvine, University of California. http://www.ics.uci.edu/~mlearn/MLRepository.html . Accessed 1 Feb 2019

2. Dai J (2013) Rough set approach to incomplete numerical data. Inf Sci 241:43–57

3. Dai J, Tian H (2013) Fuzzy rough set model for set-valued data. Fuzzy Sets Syst 229:54–68

4. Dai J, Xu Q (2012) Approximations and uncertainty measures in incomplete information systems. Inf Sci 198:62–80

5. Dai J, Wang W, Tian H, Liu L (2013) Attribute selection based on a new conditional entropy for incomplete decision systems. Knowl-Based Syst 39:207–213

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