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International journal of rough sets and data analysis
| International journal of rough sets and data analysis |
| Pubbl/distr/stampa | Hershey, PA : , : IGI Global, , [2014-] |
| Disciplina | 005 |
| Soggetto topico |
Rough sets
Granular computing Data mining |
| Soggetto genere / forma | Periodicals. |
| ISSN | 2334-4598 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | IJRSDA |
| Record Nr. | UNISA-996546859403316 |
| Hershey, PA : , : IGI Global, , [2014-] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
International journal of rough sets and data analysis
| International journal of rough sets and data analysis |
| Pubbl/distr/stampa | Hershey, PA : , : IGI Global, , [2014-] |
| Disciplina | 005 |
| Soggetto topico |
Rough sets
Granular computing Data mining Ensembles approximatifs Calcul granulaire Exploration de données (Informatique) |
| Soggetto genere / forma | Periodicals. |
| ISSN | 2334-4598 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | IJRSDA |
| Record Nr. | UNINA-9910894326503321 |
| Hershey, PA : , : IGI Global, , [2014-] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Rough set and knowledge technology : 5th international conference, RSKT 2010, Beijing, China, October 15-17, 2010 : proceedings / / Jian Yu ... [et al.] (eds.)
| Rough set and knowledge technology : 5th international conference, RSKT 2010, Beijing, China, October 15-17, 2010 : proceedings / / Jian Yu ... [et al.] (eds.) |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg, : Springer-Verlag, c2010 |
| Descrizione fisica | 1 online resource (XVII, 781 p. 178 illus.) |
| Disciplina | 006.3 |
| Altri autori (Persone) | YuJian |
| Collana |
Lecture notes in computer science,Lecture notes in artificial intelligence
LNCS sublibrary: SL 7 - Artificial intelligence |
| Soggetto topico |
Soft computing
Rough sets Data mining Artificial intelligence |
| ISBN |
1-280-38967-2
9786613567598 3-642-16248-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Speech -- Rough Sets and Computing Theory -- Fuzzy Sets -- Knowledge Technology -- Intelligent Information Processing -- Health Informatics and Biometrics Authentication -- Neural Networks -- Complex Networks -- Granular Computing -- Metaheuristic -- Special Session: Cloud Model and Its Application -- Special Session: Data Mining in Cloud Computing -- Special Session: Decision-Theoretic Rough Set Model -- Special Session: Quotient Space Theory Research and Application. |
| Record Nr. | UNINA-9910483742103321 |
| Berlin ; ; Heidelberg, : Springer-Verlag, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Rough Sets : International Joint Conference, IJCRS 2023, Krakow, Poland, October 5-8, 2023, Proceedings / / Andrea Campagner [and five others], editors
| Rough Sets : International Joint Conference, IJCRS 2023, Krakow, Poland, October 5-8, 2023, Proceedings / / Andrea Campagner [and five others], editors |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (686 pages) |
| Disciplina | 511.32 |
| Collana | Lecture Notes in Computer Science Series |
| Soggetto topico | Rough sets |
| ISBN | 3-031-50959-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Anniversary Talk -- Rough Sets in Interactive Granular Computing: Toward Foundations for Intelligent Systems Interacting with Human Experts and Complex Phenomena -- Keynote Lectures -- Rough-Calculus and Numerical Analysis - A Mathematical Foundation -- Can AI and Big Data Methods Really Help in Cyber Security? -- Applications of Tolerance-based Granular Methods (Extended Abstract) -- Role of Color in Histological Image Analysis: Rough-Fuzzy Computing to Deep Learning -- Big Data Intelligence: Challenges and Our Solutions -- Knowledge Engineering in Food Computing \mdash Selected Problems and Applications (Extended Abstract) -- Model-agnostic Explanations of Black-box Prediction Models using Rough Sets - The Case of Post-Competition Analytics at KnowledgePit.ai (Keynote Abstract) -- Contents -- Rough Set Models -- Selected Approaches to Conflict Analysis Inspired by the Pawlak Model - Case Study -- 1 Introduction -- 2 Literature Review -- 3 Conflict Analysis Models - Case Study -- 3.1 Conflict Analysis Using the Pawlak Model and the Distance Function -- 3.2 Conflict Analysis Using the Pawlak Model and the Conflict Function -- 3.3 Conflict Analysis Using Hierarchical Clustering for Determining Disjoint Clusters -- 3.4 Conflict Analysis Using Negotiations Stage -- 3.5 Consensus Model -- 4 Comparison and Application Areas -- 5 Conclusions -- References -- Multi-heuristic Induction of Decision Rules -- 1 Introduction -- 2 Decision Rules -- 2.1 Heuristics for Induction of Decision Rules -- 2.2 Decision Rules Derived from Decision Trees -- 3 Global Optimization -- 4 Experimental Results -- 5 Conclusions -- References -- Algebraic Formulations and Geometric Interpretations of Decision-Theoretic Rough Sets -- 1 Introduction -- 2 Algebraic Formulations -- 2.1 Bayesian Decision Procedure -- 2.2 Two-Way Classification.
2.3 Three-Way Classification -- 3 Geometric Interpretations -- 3.1 Geometric Interpretation of the Bayesian Classification -- 3.2 Geometric Interpretation of Two-Way Classification -- 3.3 Geometric Interpretation of Three-Way Classification -- 4 Conclusions -- References -- Reduction of Binary Attributes: Rough Set Theory Versus Formal Concept Analysis -- 1 Introduction -- 2 Rudiments of Rough Sets and Formal Concept Analysis -- 2.1 Elements of Rough Set Theory -- 2.2 Elements of Formal Concept Analysis -- 3 Set Spaces - A Platform for Comparison of RST and FCA -- 4 Reduction of Binary Attributes in RST and Reduction of Attributes in FCA - A Comparison -- 5 Conclusions -- References -- An Acceleration Method for Attribute Reduction Based on Attribute Synthesis -- 1 Introduction -- 2 Preliminaries -- 2.1 Neighborhood Rough Set -- 2.2 Attribute Reduction -- 3 Reduction Based on Attribute Synthesis -- 4 Experimental Analysis -- 4.1 Time Consumption Comparison -- 4.2 Classification Accuracy Comparison -- 5 Conclusions and Future Perspectives -- References -- Attribute Reduction Based on the Multi-annulus Model -- 1 Introduction -- 2 Construction of Multi-annulus Model -- 3 Attribute Reduction Based on the Multi-annulus Model -- 4 Experiments -- 4.1 Datasets -- 4.2 Time Consumption Comparison -- 4.3 Classification Accuracy -- 4.4 Parameter Sensitivity -- 4.5 Conclusion -- References -- Foundations -- Deterministic and Nondeterministic Decision Trees for Decision Tables with Many-Valued Decisions from Closed Classes -- 1 Introduction -- 2 Main Definitions and Notation -- 2.1 Decision Tables -- 2.2 Deterministic and Nondeterministic Decision Trees -- 2.3 Complexity Measures -- 2.4 Parameters of Decision Trees and Tables -- 3 Main Results -- 3.1 Function F,A -- 3.2 Function G,A -- 3.3 Function H,A -- 3.4 Family of Closed Classes of Decision Tables. 3.5 Example of Information System -- 4 Conclusions -- References -- Paraconsistent Logics: A Survey Focussing on the Rough Set Approach -- 1 Introduction -- 2 Different Approaches to Paraconsistency -- 2.1 The 3-Valued Approach -- 2.2 Non-adjunctive Approach -- 2.3 Non-truth Functional Approach -- 2.4 Transformation Approach -- 2.5 Logics of Formal Inconsistency -- 2.6 Adaptive Approach -- 2.7 Relevance Approach -- 2.8 Rough Set Approach -- 3 Some New Paraconsistent Logics -- 3.1 The Systems Lri -- 3.2 Paraconsistency of Lr5 -- 4 Conclusions -- References -- Hexagons of Opposition in Linguistic Three-Way Decisions -- 1 Introduction -- 2 Preliminaries -- 2.1 Three-Way Decisions with Evaluative Linguistic Expressions -- 2.2 Hexagons of Opposition -- 3 Hexagons of Opposition in Linguistic Three-Way Decisions -- 3.1 Hexagons of Opposition with Evaluative Linguistic Expressions -- 3.2 Comparing Hexagon of Oppositions -- 3.3 Discussion on the Logical Relations Between Hexagons -- 4 Conclusions -- References -- Algebraic Models for Qualified Aggregation in General Rough Sets, and Reasoning Bias Discovery -- 1 Introduction -- 2 Background -- 2.1 T-Norms, S-Norms, Uninorms, and Implications -- 2.2 Implication Operations -- 3 Model of Rough Skeptic and Pessimistic Reasoning -- 3.1 Implications -- 3.2 Concrete and Abstract Algebraic Models -- 4 Illustrative Examples -- 4.1 Abstract Example -- 4.2 Detection of Reasoning and Algorithm Bias -- 5 Skeptical Aggregation and Rough Dependence -- 6 Directions -- References -- Two-Sorted Modal Logic for Formal and Rough Concepts -- 1 Introduction -- 1.1 Many-Sorted Polyadic Modal Logic -- 2 Two-Sorted Modal Logic and Concept Lattices -- 2.1 Two-Sorted Modal Logic and Concept Lattices in Rough Set Theory -- 2.2 Two Sorted Modal Logic and Concept Lattice in Formal Concept Analysis. 3 Logical Representation of Three Concept Lattices -- 4 Conclusion and Future Direction -- References -- Kryszkiewicz's Relation for Indiscernibility of Objects in Data Tables Containing Missing Values -- 1 Introduction -- 2 Pawlak's Approach -- 3 Lipski's Approach -- 3.1 Possible Tables and Possible Indiscernibility Relations -- 3.2 Possible Equivalence Classes -- 3.3 Aggregation of Possible Indiscernibility Relations -- 3.4 Lower and Upper Bounds of the Actual Approximations -- 4 Kryszkiewicz's Relation for Indiscernibility of Objects -- 5 Relationship Between Kryszkiewicz's Approach and Lipski's Approach -- 6 Conclusions -- References -- Algebraic, Topological, and Mereological Foundations of Existential Granules -- 1 Introduction -- 2 Background -- 2.1 Topological Vector Spaces -- 2.2 Partial Algebraic Systems -- 3 Existential Granular K-Means Algorithm -- 3.1 Partial Algebras for BKM Variants -- 4 The Granular Ball Methodologies -- 4.1 Fixing the Mathematics -- 5 Existential Granulations -- 5.1 Clean Rough Randomness and Models of Algorithms -- 5.2 Formalizing the BKM Algorithms -- 6 Further Directions -- References -- Aggregation Operators on Shadowed Sets Deriving from Conditional Events and Consensus Operators -- 1 Introduction -- 2 Preliminaries -- 2.1 Shadowed Sets -- 2.2 Aggregation Functions -- 3 How to Aggregate Shadowed Sets -- 3.1 Using Operations on Conditional Events -- 3.2 Using Orthopair-Like Operations -- 4 Aggregation Functions Generating Operations on Shadowed Sets -- 4.1 Aggregation Functions Generating Conditional-Event Conjunctions on Shadowed Sets -- 4.2 Aggregation Functions Generating Conditional-Event Disjunctions on Shadowed Sets -- 4.3 Aggregation Functions Generating *C -- 5 Conclusions and Future Works -- References -- Pawlak, Belnap and the Magical Number Seven -- 1 Introduction. 2 The Pawlak-Brouwer-Zadeh Distributive de Morgan Lattices and Indiscernibility-Based Rough Set Theory -- 2.1 Pawlak-Brouwer-Zadeh Lattices and Rough Set Theory -- 3 The Seven-Valued Logic of the Pawlak-Brouwer-Zadeh Lattice -- 4 Conclusions -- References -- Three-way Decisions -- Three-Way Conflict Analysis for Three-Valued Situation Tables with Rankings and Reference Tuples -- 1 Introduction -- 2 Preliminaries -- 3 Three-Way Conflict Analysis Models by Considering Rankings and Reference Tuples -- 3.1 Two Rankings of Issue Sets and Two Reference Tuples -- 3.2 Alliance and Conflict Measures with Weight Factors -- 4 An Example -- 5 Conclusion and Future Work -- References -- Three-Way Social Network Analysis: Triadic Measures at Three Levels -- 1 Introduction -- 2 A Tri-Level Framework of Triadic Measures -- 2.1 Triadic Measures of Centrality at the Node-Level -- 2.2 Triadic Measures of Importance at the Community-Level -- 2.3 Triadic Measures of Community-Importance at the Network-Level -- 3 Two Examples -- 4 Conclusion -- References -- Cognitive and Social Decision Making: Three-Way Decision Perspectives -- 1 Introduction -- 2 Three-Way Decision, Tri-Level Thinking, and SMV Spaces -- 2.1 An Overview of Three-Way Decision -- 2.2 Tri-Level Thinking and SMV Spaces -- 3 Three Perspectives on Cognitive and Social Decision Making -- 3.1 Research Framework Perspective -- 3.2 Social Hierarchy Perspective -- 3.3 Intelligence and Intelligent Systems Perspective -- 4 Concluding Remarks and Future Research Challenges -- References -- New Models of Three-Way Conflict Analysis for Incomplete Situation Tables -- 1 Introduction -- 2 Preliminaries -- 3 Three-Way Conflict Analysis Models for Incomplete Information Situation Tables -- 4 An Application of the Three-Way Conflict Analysis Model -- 5 Conclusion -- References -- Granular-Ball Three-Way Decision. 1 Introduction. |
| Record Nr. | UNISA-996574257203316 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Rough sets : international joint conference, IJCRS 2022, Suzhou, China, November 11-14, 2022, proceedings / / edited by JingTao Yao [and five others]
| Rough sets : international joint conference, IJCRS 2022, Suzhou, China, November 11-14, 2022, proceedings / / edited by JingTao Yao [and five others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (445 pages) |
| Disciplina | 511.32 |
| Collana | Lecture Notes in Computer Science Ser. |
| Soggetto topico | Rough sets |
| ISBN | 3-031-21244-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996500064503316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Rough sets : international joint conference, IJCRS 2021, Bratislava, Slovakia, September 19-24, 2021 : proceedings / / edited by Sheela Ramanna, Chris Cornelis, Davide Ciucci
| Rough sets : international joint conference, IJCRS 2021, Bratislava, Slovakia, September 19-24, 2021 : proceedings / / edited by Sheela Ramanna, Chris Cornelis, Davide Ciucci |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (320 pages) |
| Disciplina | 511.322 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico | Rough sets |
| ISBN | 3-030-87334-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464434903316 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Rough sets : international joint conference, IJCRS 2021, Bratislava, Slovakia, September 19-24, 2021 : proceedings / / edited by Sheela Ramanna, Chris Cornelis, Davide Ciucci
| Rough sets : international joint conference, IJCRS 2021, Bratislava, Slovakia, September 19-24, 2021 : proceedings / / edited by Sheela Ramanna, Chris Cornelis, Davide Ciucci |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (320 pages) |
| Disciplina | 511.322 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico | Rough sets |
| ISBN | 3-030-87334-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910502620803321 |
| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Rough sets and current trends in computing : 7th international conference, RSCTC 2010, Warsaw, Poland, June 28-30,2010. proceedings / / Marcin Szczuka ... [et al.], (eds.)
| Rough sets and current trends in computing : 7th international conference, RSCTC 2010, Warsaw, Poland, June 28-30,2010. proceedings / / Marcin Szczuka ... [et al.], (eds.) |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | New York, : Springer, 2010 |
| Descrizione fisica | 1 online resource (771 p. 161 illus.) |
| Disciplina | 006.3 |
| Altri autori (Persone) | SzczukaMarcin |
| Collana |
LNCS sublibrary. SL 7, Artificial intelligence
Lecture notes in artificial intelligence |
| Soggetto topico | Rough sets |
| ISBN |
1-280-38703-3
9786613564955 3-642-13529-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Talks -- RSCTC 2010 Discovery Challenge -- Clustering -- Multimedia and Telemedicine: Soft Computing Applications -- Combined Learning Methods and Mining Complex Data -- Rough Sets: Logical and Mathematical Foundations -- Rough Approximations: Foundations and Methodologies -- Machine Learning: Methodologies and Algorithms -- Multiagent Systems -- Emerging Intelligent Technologies and Net-Centric Applications -- Classification and Decision Support Applications -- Intelligent Methods in Optimization and Control -- Granularity and Granular Systems. |
| Record Nr. | UNINA-9910484180303321 |
| New York, : Springer, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Rough sets and current trends in computing : 5th international conference, RSCTC 2006, Kobe, Japan, November 6-8, 2006 : proceedings / / Salvatore Greco ... [et al.] (eds.)
| Rough sets and current trends in computing : 5th international conference, RSCTC 2006, Kobe, Japan, November 6-8, 2006 : proceedings / / Salvatore Greco ... [et al.] (eds.) |
| Edizione | [1st ed. 2006.] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Springer, c2006 |
| Descrizione fisica | 1 online resource (XXII, 954 p.) |
| Disciplina | 004 |
| Altri autori (Persone) | GrecoSalvatore |
| Collana |
LNCS sublibrary. SL 7, Artificial intelligence
Lecture notes in computer scienceLecture notes in artificial intelligence |
| Soggetto topico |
Electronic data processing
Rough sets Database searching |
| ISBN | 3-540-49842-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Papers -- Commemorative Papers for Professor Pawlak -- Logics in Rough Sets -- Logics in Fuzzy Sets -- Fuzzy-Rough Hybridization -- Approximate and Uncertain Reasoning -- Variable Precision Rough Set Models -- Incomplete/Nondeterministic Information Systems -- Decision Support -- Multi-criteria Decision Support -- Rough Sets in KDD -- Rough Sets in Medicine -- Granular Computing -- Grey Systems -- Ontology and Mereology -- Statistical Mathods -- Machine Learning -- Clustering -- Data Mining -- Evolutionary Computing -- Intelligent Information Systems -- Pattern Recognition and Image Processing -- Data Clustering: Algorithms and Applications (Organized Session). |
| Altri titoli varianti | RSCTC 2006 |
| Record Nr. | UNINA-9910484709103321 |
| Berlin ; ; New York, : Springer, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Rough sets and intelligent systems - Professor Zdzisiaw Pawlak in memoriam . Volume 1 / / Andrzej Skowron and Zbigniew Suraj (eds.)
| Rough sets and intelligent systems - Professor Zdzisiaw Pawlak in memoriam . Volume 1 / / Andrzej Skowron and Zbigniew Suraj (eds.) |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg, : Springer, 2012, c2013 |
| Descrizione fisica | 1 online resource (681 p.) |
| Disciplina |
001.53/5
006.3 |
| Altri autori (Persone) |
SkowronAndrzej
SurajZbigniew |
| Collana | Intelligent systems reference library |
| Soggetto topico |
Rough sets
Artificial intelligence |
| ISBN |
9786613942661
9781283630214 1283630214 9783642303449 3642303447 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | From the Contents: Professor Zdzis.aw Pawlak (1926-2006): Founder of the Polish School of Artificial Intelligence -- List ofWorks by Professor Zdzis.aw Pawlak (1926-2006) : -- Rough Sets: From Rudiments to Challenges -- Zdzis.aw Pawlak, Databases and Rough Sets -- jMAF - Dominance-based Rough Set Data Analysis Framework -- Dynamic Programming Approach for Exact Decision Rule Optimization -- Approaches for Updating Approximations in Set-Valued Information Systems while Objects and Attributes Vary with Time -- On the Gradual Evolvement of Things -- An Empirical Comparison of Rule Sets Induced by LERS and Probabilistic Rough Classification -- Exploring Neighborhood Structures with Neighborhood Rough Sets in Classification Learning. |
| Record Nr. | UNINA-9910437901103321 |
| Berlin ; ; Heidelberg, : Springer, 2012, c2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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