Browsing by Author "Li, Tianrui"
Now showing items 1-5 of 5
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A Fitted Fuzzy-rough Method for Missing Data Imputation
Li, Daiwei; Li, Tianrui; Zhang, Haiqing; Bouras, Abdelaziz; Yu, Xi; Tang, Dan... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Missing data imputation is a fundamental task for reducing uncertainty and vagueness in medical dataset. Fuzzyrough set has taken very important role to accurate representation original information. This paper proposes ... -
A pattern-aware method for maximal fuzzy supplement frequent pattern mining
Zhang, Haiqing; Li, Daiwei; Li, Tianrui; Yu, Xi; Tao, Wang; Bouras, Abdelaziz... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)Advanced pattern mining to extract the hidden but useful information by using proper structure is vital important for efficient information mining in large-scale practical datasets. The existing algorithms have not been ... -
Hesitant extension of fuzzy-rough set to address uncertainty in classification
Zhang, Haiqing; Li, Daiwei; Wang, Tao; Li, Tianrui; Yu, Xi; Bouras, Abdelaziz... more authors ... less authors ( IOS Press , 2018 , Article)Although fuzzy rough sets have been considered as a powerful theory to handle real-valued data with uncertainty, fuzzy rough sets based algorithms reached their limit of conveying hesitation information in the processes ... -
Hybrid Missing Value Imputation Algorithms Using Fuzzy C-Means and Vaguely Quantified Rough Set
Li, Daiwei; Zhang, Haiqing; Li, Tianrui; Bouras, Abdelaziz; Yu, Xi; Wang, Tao... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)In real cases, missing values tend to contain meaningful information that should be acquired or should be analyzed before the incomplete dataset is used for machine learning tasks. In this work, two algorithms named jointly ... -
Uncertainty and Equivalence Relation Analysis for Hesitant Fuzzy-Rough Sets and Their Applications in Classification
Zhang, Haiqing; Li, Daiwei; Wang, Tao; Li, Tianrui; Yu, Xi; Bouras, Abdelaziz... more authors ... less authors ( IEEE Computer Society , 2019 , Article)The fusion of hesitant fuzzy set (HFS) and fuzzy-rough set (FRS) is explored and applied into the task of classification due to its capability of conveying hesitant and uncertainty information. In this paper, on the basis ...