Hybrid rough sets and applications in uncertain decision-making. (©2011)

• Record Type: Book
• Further Information: Note: Lirong Jian, Sifeng Liu, Yi Lin.
• Other Names: Jian, Lirong; Liu, Sifeng; Forrest, Jeffrey Yi-Lin, 1959-
• Contents: Introduction ; Background and Significance of Soft Computing Technology; Analytical Method of Data Mining; Automatic Prediction of Trends and Behavior; Association Analysis; Cluster Analysis; Concept Description; Deviation Detection; Knowledge Discovered by Data Mining; Characteristics of Rough Set Theory and Current Status of Rough Set Theory Research Characteristics of the Rough Set Theory; Current Status of Rough Set Theory Research; Analysis with Decision-Making; Non-Decision-Making Analysis; Hybrid of Rough Set Theory and Other Soft Technologies; Hybrid of Rough Sets and Probability Statistics; Hybrid of Rough Sets and Dominance Relation; Hybrid of Rough Sets and Fuzzy Sets; Hybrid of Rough Set and Grey System Theory; Hybrid of Rough Sets and Neural Networks Rough Set Theory ; Information Systems and Classification; Information Systems and Indiscernibility Relation; Set and Approximations of Set; Attributes Dependence and Approximation Accuracy; Quality of Approximation and Reduct; Calculation of the Reduct and Core of Information System Based on Discernable Matrix; Decision Table and Rule Acquisition; The Attribute Dependence, Attribute Reduct, and Core; Decision Rules; Use the Discernibility Matrix to Work Out Reducts, Core, and Decision Rules of Decision Table; Data Discretization; Expert Discrete Method; Equal Width Interval Method and Equal Frequency Interval Method; The Most Subdivision Entropy Method; Chimerge Method; Common Algorithms of Attribute Reduct; Quick Reduct Algorithm; Heuristic Algorithm of Attribute Reduct; Genetic Algorithm; Application Case; Data Collecting and Variable Selection; Data Discretization; Attribute Reduct; Rule Generation; Simulation of the Decision Rules Hybrid of Rough Set Theory and Probability ; Rough Membership Function; Variable Precision Rough Set Model; β-Rough Approximation; Classification Quality and β-Reduct; Discussion about β Value; Construction of Hierarchical Knowledge Granularity Based on VPRS Knowledge Granularity; Relationship between VPRS and Knowledge Granularity; Approximation and Knowledge Granularity; Classification Quality and Granularity Knowledge Granularity Construction of Hierarchical Knowledge Granularity; Methods of Construction of Hierarchical Knowledge Granularity Algorithm Description; Methods of Rule Acquisition Based on the Inconsistent Information System in Rough Set Bayes’ Probability; Consistent Degree, Coverage, and Support; Probability Rules; Approach to Obtain Probabilistic Rules Hybrid of Rough Set and Dominance Relation Hybrid of Rough Set and Dominance Relation; Dominance-Based Rough Set; The Classification of the Decision Tables with Preference Attribute Dominating Sets and Dominated Sets; Rough Approximation by Means of Dominance Relations; Classification Quality and Reduct; Preferential Decision Rules; Dominance-Based Variable Precision Rough Set; Inconsistency and Indiscernibility Based on Dominance Relation β-Rough Approximation Based on Dominance Relations; Classification Quality and Approximate Reduct; Preferential Probabilistic Decision Rules; Algorithm Design; An Application Case; Post Evaluation of Construction Projects Based on Dominance-Based Rough Set Construction of Preferential Evaluation Decision Table; Search of Reduct and Establishment of Preferential Rules; Performance Evaluation of Discipline Construction in Teaching-Research Universities Based on Dominance-Based Rough Set The Basic Principles of the Construction of Evaluation Index System The Establishment of Index System and Determination of Weight and Equivalent; Data Collection and Pretreatment Data Discretization; Search of Reducts and Generation of Preferential Rules; Analysis of Evaluation Results Hybrid of Rough Set Theory and Fuzzy Set Theory; The Basic Concepts of the Fuzzy Set Theory; Fuzzy Set and Fuzzy Membership Function; Operation of Fuzzy Subsets; Fuzzy Relation and Operation; Synthesis of Fuzzy Relations; λ-Cut Set and the Decomposition Proposition; The Fuzziness of Fuzzy Sets and Measure of Fuzziness; Rough Fuzzy Set and Fuzzy Rough Set; Rough Fuzzy Set; Fuzzy Rough Set; Variable Precision Rough Fuzzy Sets; Rough Membership Function Based on λ-Cut Set; The Rough Approximation of Variable Precision Rough Fuzzy Set The Approximate Quality and Approximate Reduct of variable Precision; &
• Publisher Details: Boca Raton, FL : Auerbach Publications
• Publication Date: 2011
• Copyright Date: 2011
• Extent: 1 online resource (xvii, 266 pages), illustrations
• Subjects: 006.3; Soft computing; Data mining; Rough sets; Decision making; COMPUTERS -- Enterprise Applications -- Business Intelligence Tools; COMPUTERS -- Intelligence (AI) & Semantics; Data mining; Decision making; Rough sets; Soft computing; Electronic books
• Languages: English
• ISBNs: 9781420087499; 1420087495
• Related ISBNs: 9781420087482; 1420087487
• Notes: Note: Includes bibliographical references and index.; Note: Print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.