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Titlebook: Rough Sets and Knowledge Technology; Third International Guoyin Wang,Tianrui Li,Yiyu Yao Conference proceedings 2008 Springer-Verlag Berli

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Adaptive Classification with Jumping Emerging Patternsaccepted, semi-labeled cases are used to modify the underlying hypothesis and improve its accuracy for rejected ones. We apply our approach to classification with jumping emerging patterns (JEPs). Two adaptive versions of JEP-Classifier, by support adjustment and by border recomputation, are discuss
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Consistency and Fuzziness in Ordered Decision Tablesclassification in the context of ordered information systems. The membership function of an object is defined through using the dominance class including itself. Based on the membership function, we introduce a consistency measure to assess the consistency of an ordered decision table and define two
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Fast Knowledge Reduction Algorithms Based on Quick Sortt algorithms for knowledge reduction based on rough sets. In these algorithms we use the fact that the average time complexity for the quick sort algorithm for a two dimensions table with . rows and . columns is just .×(. + .) (not .×.×.). Experiment results also show the efficiency of these algorit
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Multiple-Source Approximation Systems: Membership Functions and Indiscernibility. We particularly look at notions of definability of sets in such a collection .. Some possibilities for membership functions in . are explored. Finally, a relation that reflects the degree to which objects are (in)discernible in . is also presented.
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