Feature Selection Considering Multiple Correlations Based on Soft Fuzzy Dominance Rough Sets for Monotonic Classification-Reference-Cited by-同舟云学术

Feature Selection Considering Multiple Correlations Based on Soft Fuzzy Dominance Rough Sets for Monotonic Classification

Published:2022-12 Issue:12 Volume:30 Page:5181-5195
ISSN:1063-6706
Container-title:IEEE Transactions on Fuzzy Systems
language:
Short-container-title:IEEE Trans. Fuzzy Syst.

Author:

Sang Binbin¹,Chen Hongmei¹^ORCID,Yang Lei²,Wan Jihong¹^ORCID,Li Tianrui¹^ORCID,Xu Weihua³^ORCID

Affiliation:

1. School of Computing and Artificial Intelligence, Institute of Artificial Intelligence and National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu, China

2. School of Mathematics, Southwest Jiaotong University, Chengdu, China

3. School of Artificial Intelligence, Southwest University, Chongqing, China

Funder

National Natural Science Foundation of China

Sichuan Key Research and Development

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/91/9967417/09762973.pdf?arnumber=9762973

Reference51 articles.

1. Fusing Fuzzy Monotonic Decision Trees

2. A fast heuristic attribute reduction approach to ordered decision systems

3. Fuzzy Rough Attribute Reduction for Categorical Data

4. Kernelized Fuzzy Rough Sets and Their Applications

5. Class Noise vs. Attribute Noise: A Quantitative Study

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