Rough Sets

TRAMA

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.

SOMMARIO

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.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9783030873332
• Collana: Lecture Notes in Computer Science
• Dimensioni: 235 x 155 mm
• Formato: Brossura
• Illustration Notes: XV, 311 p. 68 illus., 51 illus. in color.
• Pagine Arabe: 311
• Pagine Romane: xv