4.8 Article

Noise-Tolerant Fuzzy-β-Covering-Based Multigranulation Rough Sets and Feature Subset Selection

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Theory & Methods

A fitting model for attribute reduction with fuzzy β-covering

Zhehuang Huang et al.

Summary: As an extension of covering-based rough set models, fuzzy /3 covering provides an effective means for dealing with uncertain information. However, traditional fuzzy /3 covering has limitations in fitting data sets well and is sensitive to noise, leading to unstable classification performance. To address these issues, a new fitting model for attribute reduction based on fuzzy /3 covering is proposed, which introduces parameterized fuzzy /3 neighborhoods to characterize sample similarity and develops a heuristic attribute reduction algorithm.

FUZZY SETS AND SYSTEMS (2021)

Article Computer Science, Artificial Intelligence

Feature Selection Using Fuzzy Neighborhood Entropy-Based Uncertainty Measures for Fuzzy Neighborhood Multigranulation Rough Sets

Lin Sun et al.

Summary: The article introduces a feature selection method based on FNMRS for preprocessing data and improving its classification performance in heterogeneous data sets. The approach constructs uncertainty measures using fuzzy neighborhood rough sets and neighborhood multigranulation rough sets, and provides optimistic and pessimistic FNMRS models along with fuzzy neighborhood entropy-based uncertainty measures. Additionally, the Fisher score model is utilized to reduce the complexity of high-dimensional data sets by deleting irrelevant features and a forward feature selection algorithm is presented to enhance the performance of heterogeneous data classification.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2021)

Article Computer Science, Artificial Intelligence

On Multicriteria Decision-Making Method Based on a Fuzzy Rough Set Model With Fuzzy α-Neighborhoods

Kai Zhang et al.

Summary: This article introduces a novel fuzzy alpha-neighborhood operator and a fuzzy rough set model based on this operator for decision-making in information systems. By utilizing data normalization and the fuzzy alpha-neighborhood-based fuzzy rough set model, real-valued information systems are effectively transformed into intuitionistic fuzzy-valued information systems, with three different sorting decision-making schemes developed on the latter. The method is validated through numerical experiments and comparative studies, demonstrating its stability and effectiveness.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2021)

Article Computer Science, Information Systems

Fuzzy neighborhood covering for three-way classification

X. D. Yue et al.

INFORMATION SCIENCES (2020)

Article Computer Science, Artificial Intelligence

Covering based multigranulation fuzzy rough sets and corresponding applications

Jianming Zhan et al.

ARTIFICIAL INTELLIGENCE REVIEW (2020)

Article Computer Science, Artificial Intelligence

Reduction foundation with multigranulation rough sets using discernibility

Anhui Tan et al.

ARTIFICIAL INTELLIGENCE REVIEW (2020)

Article Computer Science, Artificial Intelligence

Adaptive weighted generalized multi-granulation interval-valued decision-theoretic rough sets

Yanting Guo et al.

KNOWLEDGE-BASED SYSTEMS (2020)

Article Computer Science, Theory & Methods

A graph approach for fuzzy -rough feature selection

Jinkun Chen et al.

FUZZY SETS AND SYSTEMS (2020)

Article Computer Science, Artificial Intelligence

Active Incremental Feature Selection Using a Fuzzy-Rough-Set-Based Information Entropy

Xiao Zhang et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2020)

Article Computer Science, Artificial Intelligence

Distributed Feature Selection for Big Data Using Fuzzy Rough Sets

Linghe Kong et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2020)

Article Computer Science, Artificial Intelligence

Fuzzy Rough Attribute Reduction for Categorical Data

Changzhong Wang et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2020)

Article Computer Science, Artificial Intelligence

Fuzzy-Rough Set Bireducts for Data Reduction

Neil Mac Parthalain et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2020)

Article Automation & Control Systems

Feature Selection Based on Neighborhood Self-Information

Changzhong Wang et al.

IEEE TRANSACTIONS ON CYBERNETICS (2020)

Article Computer Science, Artificial Intelligence

The comparative study of covering rough sets and multi-granulation rough sets

Qingzhao Kong et al.

SOFT COMPUTING (2019)

Article Computer Science, Artificial Intelligence

Intuitionistic Fuzzy Rough Set-Based Granular Structures and Attribute Subset Selection

Anhui Tan et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2019)

Article Computer Science, Information Systems

Covering based multigranulation (I, T)-fuzzy rough set models and applications in multi-attribute group decision-making

Jianming Zhan et al.

INFORMATION SCIENCES (2019)

Article Computer Science, Artificial Intelligence

Covering-Based Variable Precision (I, T)-Fuzzy Rough Sets With Applications to Multiattribute Decision-Making

Haibo Jiang et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2019)

Article Computer Science, Artificial Intelligence

Fuzzy Rough Set Based Feature Selection for Large-Scale Hierarchical Classification

Hong Zhao et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2019)

Article Computer Science, Theory & Methods

A comprehensive study of fuzzy covering-based rough set models: Definitions, properties and interrelationships

Lynn D'eer et al.

FUZZY SETS AND SYSTEMS (2018)

Article Computer Science, Artificial Intelligence

Incremental Perspective for Feature Selection Based on Fuzzy Rough Sets

Yanyan Yang et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2018)

Article Computer Science, Artificial Intelligence

Matrix representations and interdependency on L-fuzzy covering-based approximation operators

Bin Yang et al.

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2018)

Article Computer Science, Theory & Methods

On some types of fuzzy covering-based rough sets

Bin Yang et al.

FUZZY SETS AND SYSTEMS (2017)

Article Computer Science, Theory & Methods

Fuzzy neighborhood operators based on fuzzy coverings

Lynn D'eer et al.

FUZZY SETS AND SYSTEMS (2017)

Article Computer Science, Artificial Intelligence

A Fitting Model for Feature Selection With Fuzzy Rough Sets

Changzhong Wang et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2017)

Article Computer Science, Artificial Intelligence

Local multigranulation decision-theoretic rough sets

Yuhua Qian et al.

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2017)

Article Computer Science, Artificial Intelligence

Multigranulation fuzzy rough set over two universes and its application to decision making

Bingzhen Sun et al.

KNOWLEDGE-BASED SYSTEMS (2017)

Article Computer Science, Information Systems

A fuzzy covering-based rough set model and its generalization over fuzzy lattice

Bin Yang et al.

INFORMATION SCIENCES (2016)

Article Mathematics, Applied

Two fuzzy covering rough set models and their generalizations over fuzzy lattices

Liwen Ma

FUZZY SETS AND SYSTEMS (2015)

Article Computer Science, Artificial Intelligence

Attribute Reduction for Heterogeneous Data Based on the Combination of Classical and Fuzzy Rough Set Models

Degang Chen et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2014)

Article Computer Science, Information Systems

Intuitionistic fuzzy multigranulation rough sets

Bing Huang et al.

INFORMATION SCIENCES (2014)

Article Computer Science, Artificial Intelligence

Multigranulation decision-theoretic rough sets

Yuhua Qian et al.

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2014)

Article Computer Science, Artificial Intelligence

Multi-granulation fuzzy rough sets

Weihua Xu et al.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2014)

Article Physics, Multidisciplinary

Multi-Granulation Entropy and Its Applications

Kai Zeng et al.

ENTROPY (2013)

Article Computer Science, Artificial Intelligence

On Robust Fuzzy Rough Set Models

Qinghua Hu et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2012)

Article Computer Science, Artificial Intelligence

The reduction and fusion of fuzzy covering systems based on the evidence theory

Tao Feng et al.

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2012)

Article Computer Science, Artificial Intelligence

On some types of neighborhood-related covering rough sets

Liwen Ma

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2012)

Article Computer Science, Artificial Intelligence

NMGRS: Neighborhood-based multigranulation rough sets

Guoping Lin et al.

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2012)

Article Computer Science, Information Systems

Parameterized attribute reduction with Gaussian kernel based fuzzy rough sets

Degang Chen et al.

INFORMATION SCIENCES (2011)

Article Computer Science, Information Systems

MGRS: A multi-granulation rough set

Yuhua Qian et al.

INFORMATION SCIENCES (2010)

Article Computer Science, Artificial Intelligence

The Model of Fuzzy Variable Precision Rough Sets

Suyun Zhao et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2009)

Article Computer Science, Artificial Intelligence

New Approaches to Fuzzy-Rough Feature Selection

Richard Jensen et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2009)

Article Computer Science, Artificial Intelligence

Generalized fuzzy rough approximation operators based on fuzzy coverings

Tong-Jun Li et al.

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2008)

Article Computer Science, Artificial Intelligence

Information-preserving hybrid data reduction based on fuzzy-rough techniques

QH Hu et al.

PATTERN RECOGNITION LETTERS (2006)

Article Computer Science, Theory & Methods

Rough set analysis of a general type of fuzzy data using transitive aggregations of fuzzy similarity relations

JMF Salido et al.

FUZZY SETS AND SYSTEMS (2003)