Dominance-Based Rough Set Approach: Basic Ideas and Main Trends

DOI10.1007/978-3-030-96318-7_18zbMath1502.90086arXiv2210.03233OpenAlexW4285274458MaRDI QIDQ5049393

Marcin Szeląg, Jerzy Błaszczyński, Matarazzo, Benedetto, Greco, Salvatore

Publication date: 11 November 2022

Published in: Intelligent Decision Support Systems (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2210.03233

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Management decision making, including multiple objectives (90B50) Computing methodologies for information systems (hypertext navigation, interfaces, decision support, etc.) (68U35)

Uses Software

• LERS
• 4eMka2
• jMAF

Cites Work

• Multiple criteria decision analysis. State of the art surveys. In 2 volumes
• Two Bayesian approaches to rough sets
• Rough sets and intelligent systems -- Professor Zdzisław Pawlak in memoriam. Volume 1. Foreword by Roman Słowiński.
• Variable consistency dominance-based rough set approach to preference learning in multicriteria ranking
• Multi-criteria classification -- a new scheme for application of dominance-based decision rules
• Multiobjective optimization. Interactive and evolutionary approaches
• Probabilistic rough set approximations
• Monotonic variable consistency rough set approaches
• Rough set approach to multiple criteria classification with imprecise evaluations and assignments
• Ranking methods based on valued preference relations. A characterization of the net flow method
• Separate-and-conquer rule learning
• Business failure prediction using rough sets
• Rough set approach to multi-attribute decision analysis
• Multicriteria decision making: advances in MCDM models, algorithms, theory, and applications
• Rough approximation of a preference relation by dominance relations
• A new axiomatic foundation of partial comparability
• Dominance-based rough set approach to incomplete ordered information systems
• Multicriteria decision support using rules that represent rough-graded preference relations
• Dominance-based rough set approach and knowledge reductions in incomplete ordered information system
• Relational Systems of Preference with One or More Pseudo-Criteria: Some New Concepts and Results
• On Variable Consistency Dominance-Based Rough Set Approaches
• Variable-Precision Dominance-Based Rough Set Approach
• Preference Learning
• Dominance-Based Rough Set Approach to Case-Based Reasoning
• Rough sets
• Fuzzy set modelling in case-based reasoning
• Ranking Alternatives on the Basis of Preference Relations: A Progress Report with Special Emphasis on Outranking Relations
• Decision analysis using rough sets
• Multicriteria Decision Aid and Artificial Intelligence
• Rough Set Analysis of Classification Data with Missing Values
• Transactions on Rough Sets I
• Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing
• Characteristic Relations for Incomplete Data: A Generalization of the Indiscernibility Relation
• Fuzzy sets
• A generalization of the indiscernibility relation for rough set analysis of quantitative information
• Extension Of The Rough Set Approach To Multicriteria Decision Support
• Rough sets theory for multicriteria decision analysis
• Data mining. Concepts and techniques
• Empirical risk minimization for dominance-based rough set approaches
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Dominance-Based Rough Set Approach: Basic Ideas and Main Trends