Unifying Rough Set Theories via Large Scaled Granular Computing-Reference-Cited by-同舟云学术

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Unifying Rough Set Theories via Large Scaled Granular Computing

Published:2013 Issue:1-4 Volume:127 Page:413-428
ISSN:0169-2968
Container-title:Fundamenta Informaticae
language:
Short-container-title:

Author:

Lin Tsau Young¹,Liu Yong²,Huang Wenliang³

Affiliation:

1. Department of Computer Science, San José State University, San José, CA 95192, USA. tylin@cs.sjsu.edu

2. Institute of Cyber-Systems and Control, Zhejiang University, Hanghzou, 310027, PR China. yongliu@iipc.zju.edu

3. China United Network Communication Corporation, 100032 Beijing, China. huangwl0901@gmail.com

Publisher

IOS Press

Subject

Computational Theory and Mathematics,Information Systems,Algebra and Number Theory,Theoretical Computer Science

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The consistent functions and reductions of fuzzy neighborhood systems;Soft Computing;2023-05-18

2. Rough Set Model and Approximations in Fuzzy Formal Contexts;2022 5th Asia Conference on Machine Learning and Computing (ACMLC);2022-12

3. Granular computing on basic digraphs;Applicable Analysis and Discrete Mathematics;2022

4. On consistent functions for neighborhood systems;International Journal of Approximate Reasoning;2020-06

5. Morphisms in Binary Rough Set Theory;Fundamenta Informaticae;2020-02-08

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