This two-volume set LNAI 14839-14840 constitutes the refereed proceedings of the International Joint Conference on Rough Sets, IJCRS 2024, held in Halifax, NS, Canada, during May 17–20, 2024.The 43 full papers included in this book were carefully reviewed and selected from 56 submissions.

.- Three-Way Decision and Rough Sets. .- The Visual Analysis of Three-way Decision based on Decision-theoretic Rough Set: A Perspective of Fusing Two-way Decision Pair. .- Triangular Fuzzy Number Intuitionistic Fuzzy Covering Rough Sets and Applications to Decision Making. .- Three-way Decision of Granular-ball Rough Sets based on Fuzziness. .- Three-Way Decision in Data Analytics. .- Three-way Cost-Performance Approximate Attribute Reduction. .- Granular Approximations of Partially-Known Concepts. .- Robust Online Satellite Video Object Tracking with Self-adoption Uncertainty. .- Three-way Hybrid Sampling using Granular Balls for Imbalanced Classification. .- Identifying Important Concepts in the Concept Lattice based on Concept Indices and Complex Network Analysis. .- Result-fusion-based Temporal-spatial Composite Sequential Three-way Decisions. .- Three-Way Decision in Broad Senses. .- A Machine-People-Government Triangular Model of Smart Agriculture. .- Three-way Bibliometrics Analytics for Supporting Literature Review. .- Approximate Criterion Reduction in Multi-Criteria Trilevel Ranking Analysis. .- New models of three-way conflict analysis based on decision-theoretic rough sets. .- Three-way Conflict Analysis with Negative Feedback. .- Rental Market Data Mining. .- Estate 360: AI-Driven Centralized Real Estate Platform. .- Housing Rental Information Management and Prediction System based on CatBoost Algorithm - a Case Study of Halifax Region. .- A Novel Approach to Rental Market Analysis for Property Management Firms using Large Language Models and Machine Learning. .- Applications of Deep Learning and Soft Computing. .- Clinical Medical Test Decision-making of Liver Disease using Granular-ball Rough Set. .- Lung Cancer Risk Prediction Model Trained with Multi-source Data. .- Advancing ITS Applications with LLMs: A Survey on Traffic Management, Transportation Safety, and Autonomous Driving. .- Automated Brain Tumor Classification with Deep Learning.