Rough Sets : International Joint Conference, IJCRS 2025, Chongqing, China, May 11-13, 2025, Proceedings, Part I (Lecture Notes in Artificial Intelligence)

Zhang, Qinghua (EDT)/ Henry, Christopher (EDT)/ Jensen, Richard (EDT)

Springer International Publishing AG（2025/05発売）

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製本 Paperback:紙装版/ペーパーバック版／ページ数 438 p.
言語 ENG
商品コード 9783031927461

Full Description

This three-volume set LNAI 15708-15709-15110 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2025, held in Chongqing, China, during May 11-13, 2025.
The 90 full papers included in these volumes were carefully reviewed and selected from 187 submissions. They are organized in topical sections as follows:
Part I: Rough Set Models and Foundations; Fuzzy Rough Sets and Rough Fuzzy Sets; and Granular Computing.
Part II: Rough Set Applications; Feature Selection and Knowledge Discovery; and Cognitive Computing.
Part III: Three-way Data Analytics and Decision; Medicine and Health Data Mining; and Applications of Deep Learning and Soft Computing.

.- Rough Set Models and Foundations.

.- A Proposal of The Sub attributes Based β Dependency in Rough Sets and Its Calculation.

.- Triadic Patterns for Explainable Artificial Intelligence.

.- Rough Shadowed Set: Hybridization of Rough Set and Shadowed Set.

.- An Analysis of The Efficacy of Rough Set Models within The Framework of Binary Information Tables.

.- A Novel Weighted k nearest Neighborhood Rough Set Approach for Interval valued Decision Information System.

. A Class specific Attribute Reduction Acceleration Algorithm Based on Neighborhood Rough Set.

.- Optimal Scale Selections of Inconsistent Generalized Multi scale Ordered Decision Information Systems with Multi-scale Decision Attributes Based on The Set valued Dominance Matrix.

.- New Insights into Reduction Theory: Building on Concept Reduction.

.- Fuzzy Rough Sets and Rough Fuzzy Sets.

.- Fuzzy Clustering Ensemble Method Based on Dempster-Shafer Theory.

.- Attribute Reduction Method of Fuzzy Rough Sets Based on Improved Overlap Degree.

.- Intuitionistic Fuzzy Clustering Indexes Based on Generalized Fuzzy Orthopartitions.

.- Virtual Exposure Bracketing for HDR Imaging with Fuzzy Membership.

.- Attribute Reduction in Multi scale Fuzzy Decision Systems.

.- Tri Training with Granular ball in Weighted Fuzzy Rough Sets.

.- On q Rung Orthopair Fuzzy Rough Generalized Dombi Aggregation Operators.

.- Optimising The Attribute Order in Fuzzy Rough Rule Induction.

.- Multi Criteria Attribute Ranking Based on Rough Sets and Interval valued Fuzzy Sets.

.- Granular Computing.

.- MGSM CAN: Multi-granularity Semantic Margin Cross Annotation Network.

.- Hierarchical Multi label Attribute Reduction Based on Granular-ball.

.- Similarity Measurement and Application of Normal Clouds Based on Bhattacharyya Distance.

.- The Description of Isomorphism Between Concept Lattices Based on The Special Datas.

.- Multi view Graph Convolutional Network Via Granular ball Computing.

.- Fuzzy Rough Outlier Detection Method in Two layer Granular Ball Space.

.- Unsupervised Granular ball Partitioning Algorithm Based on KL Divergence.

.- MOGBC: Multi objective Driven Granular Ball Clustering.

.- Fast Minimum Spanning Tree Clustering Algorithm Based on Granular ball Computing.

.- Improved Distance Measure of Intuitionistic Fuzzy Sets and Its Application in Pattern Recognition.