Rough sets : International Joint Conference, IJCRS 2020, Havana, Cuba, June 29-July 3, 2020, Proceedings /: International Joint Conference, IJCRS 2020, Havana, Cuba, June 29-July 3, 2020, Proceedings. (2020)

• Record Type: Book
• Other Titles: IJCRS 2020
• Further Information: Note: Rafael Bello, Duoqian Miao, Rafael Falcon, Michinori Nakata, Alejandro Rosete, Davide Ciucci (eds.).
• Other Names: Bello, Rafael; Miao, Duoqian; Falcón, Rafael, 1979-; Nakata, Michinori; Rosete, Alejandro; Ciucci, Davide; International Joint Conference on Rough Sets
• Contents: Intro -- Preface -- Organization -- Contents -- General Rough Sets -- Rough Forgetting -- 1 Introduction and Motivations -- 2 Rough Reasoning Framework -- 3 Forgetting and Rough Forgetting -- 3.1 Forgetting -- 3.2 Rough Forgetting -- 4 Eliminating Second-Order Quantifiers from Rough Formulas -- 5 Applications and Examples -- 5.1 The Scenario -- 5.2 Forgetting Rough Concepts -- 5.3 Forgetting Many-Argument Relations -- 6 Conclusions -- References -- Functional Extensions of Knowledge Representation in General Rough Sets -- 1 Introduction -- 1.1 Background -- 2 Relations and Groupoids 3 Up-Directed General Approximation Spaces -- 3.1 Classical Approximation Spaces -- 3.2 Parthood Spaces -- 3.3 Examples, Meaning and Interpretation -- 4 Formalism of Higher Granular Operator Spaces -- 5 Further Directions and Remarks -- References -- Similarity Based Granules -- 1 Introduction -- 2 Theoretical Background -- 3 Correlation Clustering -- 4 Similarity Based Granules -- 5 Approximation Based on Representatives -- 6 Properties of Granules -- 6.1 Properties of Approximation Pairs -- 7 Conclusion -- References -- Approximate Reaction Systems Based on Rough Set Theory -- 1 Introduction 2 Mathematical Background -- 2.1 Introduction to Reaction Systems -- 2.2 Introduction to Rough Sets -- 2.3 Related Work on Linking Rough Sets and Reaction Systems -- 3 Methods -- 3.1 Approximate Reaction Systems -- 3.2 Reducts -- 4 Conclusion -- References -- Weighted Generalized Fuzzy Petri Nets and Rough Sets for Knowledge Representation and Reasoning -- 1 Introduction -- 2 Preliminaries of Rough Set Theory -- 2.1 Information Systems and Decision Systems -- 2.2 Dependency of Attributes -- 2.3 Significance of Attributes -- 2.4 Rules in Decision Systems -- 3 Weighted Generalized Fuzzy Petri Nets 4 Transformation of Decision Systems into WGFP-nets -- 5 An Example -- 6 Conclusion -- References -- Rough Sets Meet Statistics -- A New View on Rough Set Reasoning About Numerical Data -- 1 Introduction -- 2 Preliminaries -- 2.1 Rough Sets -- 2.2 Value-Based Definitions and Inconclusive Regions -- 3 A Statistical View of Pawlak's Rough Sets -- 4 Rough Approximations for Numerical Data -- 4.1 Rough Sets and KDE -- 4.2 Relationship to Neighborhood Based Rough Sets -- 4.3 Bandwidth Selection -- An Example -- 5 Discussion -- 6 Conclusion -- References -- Three-Way Decision Theory An Adjusted Apriori Algorithm to Itemsets Defined by Tables and an Improved Rule Generator with Three-Way Decisions -- 1 Introduction -- 2 Preliminary: An Overview of Rule Generation and Examples -- 2.1 Rules and Rule Generation from DISs -- 2.2 Rules and Rule Generation from NISs -- 2.3 A Relation Between Rules in DISs and Rules in NISs -- 2.4 The Apriori Algorithm for Transaction Data Sets -- 3 Some Improvements of the NIS-Apriori Based Rule Generator -- 3.1 From Transaction Data Sets to Table Data Sets -- 3.2 The Manipulation I for Frequent Itemsets by the Characteristics of Table Data Sets 3.3 The Manipulation II for Frequent Itemsets by the Characteristics of Table Data Sets
• Publisher Details: Cham : Springer
• Publication Date: 2020
• Extent: 1 online resource
• Subjects: 511.3/22; Rough sets -- Congresses; Electronic books; Electronic books
• Languages: English
• ISBNs: 9783030527051; 3030527050
• Related ISBNs: 3030527042; 9783030527044
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