Y Yao, Y She - Information Sciences, 2016 - Elsevier
There exist several approaches to rough set approximations in a multigranulation space, namely, a family of equivalence relations. In this paper, we propose a unified framework to …
WZ Wu, Y Qian, TJ Li, SM Gu - Information Sciences, 2017 - Elsevier
Granular computing and acquisition of IF-THEN rules are two basic issues in knowledge representation and data mining. A rough set approach to knowledge discovery in incomplete …
Y Qian, S Li, J Liang, Z Shi, F Wang - Information Sciences, 2014 - Elsevier
Multigranulation rough sets (MGRS) is one of desirable directions in rough set theory, in which lower/upper approximations are approximated by granular structures induced by …
X Ye, D Liu - Information Sciences, 2022 - Elsevier
In considering of the dynamic variations of user's preference and item's popularity, sequential recommender system (RS) has attracted much attention in recent years. In …
C Huang, J Li, C Mei, WZ Wu - International Journal of Approximate …, 2017 - Elsevier
The theory of three-way decisions is to consider a decision-making problem as a ternary classification one which is realized by the acceptance, rejection and non-commitment …
Y Qian, J Liang, C Dang - International Journal of Approximate Reasoning, 2009 - Elsevier
One of the strengths of rough set theory is the fact that an unknown target concept can be approximately characterized by existing knowledge structures in a knowledge base …
J Luo, H Fujita, Y Yao, K Qin - Knowledge-Based Systems, 2020 - Elsevier
Although incomplete information is a well studied topic in rough set theory, there still does not exist a general agreement on the semantics of various types of incomplete information …
Y Qian, J Liang, ZW Wei-zhi… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
Zadeh's seminal work in theory of fuzzy-information granulation in human reasoning is inspired by the ways in which humans granulate information and reason with it. This has led …