Beschreibung
InhaltsangabeFrom the contents Part I Fuzzy and Rough Sets Theoretical and Practical Aspects.- Missing Value Semantics and Absent Value Semantics for Incomplete Information in Object-Oriented Rough Set Models.- Similarities for Crisp and Fuzzy Probabilistic Expert Systems.- An Efficient Image Retrieval System Using Ordered Weighted Aggregation.- Entropy and Co-Entropy of Partitions and Coverings with Applications to Roughness Theory.- Part II Fuzzy and Rough Sets in Machine Learning and Data Mining.- Learning Membership Functions for an Associative Fuzzy Neural Network.- An Incremental Clustering Method and its Application in Online Fuzzy Modeling.- Part III Fuzzy and Rough Sets in Decision-Making.- Rough Set Approach to Information Systems with Interval Decision Values in Evaluation Problems.- Fuzzy Rule-Based Direction-Oriented Resampling Algorithm in High Definition Display.- RSGUI with Reverse Prediction Algorithm.
Inhalt
From the contents Part I Fuzzy and Rough Sets Theoretical and Practical Aspects.- Missing Value Semantics and Absent Value Semantics for Incomplete Information in Object-Oriented Rough Set Models.- Similarities for Crisp and Fuzzy Probabilistic Expert Systems.- An Efficient Image Retrieval System Using Ordered Weighted Aggregation.- Entropy and Co-Entropy of Partitions and Coverings with Applications to Roughness Theory.- Part II Fuzzy and Rough Sets in Machine Learning and Data Mining.- Learning Membership Functions for an Associative Fuzzy Neural Network.- An Incremental Clustering Method and its Application in Online Fuzzy Modeling.- Part III Fuzzy and Rough Sets in Decision-Making.- Rough Set Approach to Information Systems with Interval Decision Values in Evaluation Problems.- Fuzzy Rule-Based Direction-Oriented Resampling Algorithm in High Definition Display.- RSGUI with Reverse Prediction Algorithm.
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