Table of 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,
  • Set Bayes' Probability; Consistent Degree, Coverage,
  • 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.