Rough Sets

The volume LNAI 12872 constitutes the proceedings of the International Joint Conference on Rough Sets, IJCRS 2021, Bratislava, Slovak Republic, in September 2021. The conference was held as a hybrid event due to the COVID-19 pandemic.

The 13 full paper and 7 short papers presented were carefully reviewed and selected from 26 submissions, along with 5 invited papers. The papers are grouped in the following topical sections: core rough set models and methods, related methods and hybridization, and areas of applications.

Inhalt

Invited Papers.- Mining Incomplete Data Using Global and Saturated Probabilistic Approximations Based on Characteristic Sets and Maximal Consistent Blocks.- Determining Tanimoto Similarity Neighborhoods of Real-Valued Vectors by Means of the Triangle Inequality and Bounds on Length.- Rough-Fuzzy Segmentation of Brain MR Volumes: Applications in Tumor Detection and Malignancy Assessment.- DDAE-GAN: Seismic Data Denoising by Integrating Autoencoder and Generative Adversarial Network.- Classification of Multi-Class Imbalanced Data: Data Difficulty Factors and Selected Methods for Improving Classifiers.- Core Rough Set Models and Methods.- General Rough Modeling of Cluster Analysis.- Possible Coverings in Incomplete Information Tables with Similarity of Values.- Attribute Reduction Using Functional Dependency Relations in Rough Set Theory.- The RSDS: A Current State and Future Plans.- Many-Valued Dynamic Object-Oriented Inheritance and Approximations.- Related Methods and Hybridization.- Minimizing Depth of Decision Trees with Hypotheses.- The Influence of Fuzzy Expectations on Triples of Triangular Norms in the Weighted Fuzzy Petri Net for the Subject Area of Passenger Transport Logistics.- Possibility Distributions Generated by Intuitionistic L-Fuzzy Sets.- Feature Selection and Disambiguation in Learning from Fuzzy Labels using Rough Sets.- Right Adjoint Algebras versus Operator Left Residuated posets.- Adapting Fuzzy Rough Sets for Classification with Missing Values.- Areas of Applications.- Spark Accelerated Implementation of Parallel Attribute Reduction from Incomplete Data.- Attention Enhanced Hierarchical Feature Representation for Three-way Decision Boundary Processing.- An Opinion Summarization-Evaluation System Based on Pre-trained Models.- Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in Tweets.- Three-way decisions based RNN models for sentiment classification.- Tolerance-Based Short Text Sentiment Classifier.- Knowledge Graph Representation Learning for Link Prediction with Three-Way Decisions.- PNeS in Modelling, Control and Analysis of Concurrent Systems.- 3RD: A Multi-Criteria Decision-Making Method Based on Three-Way Rankings.