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51#
發(fā)表于 2025-3-30 10:34:21 | 只看該作者
52#
發(fā)表于 2025-3-30 14:34:01 | 只看該作者
53#
發(fā)表于 2025-3-30 17:56:14 | 只看該作者
Die Untersuchung frischer Pr?parateproach is a modification of Pacholczyk’s model able to handle a non-predetermined chain of hedges. The second one is a new framework based on the idea to give two different semantics for the “not” particle, depending on whether it is used to change the meaning of a linguistic modifier or to alter a fuzzy set.
54#
發(fā)表于 2025-3-30 23:45:02 | 只看該作者
Bert-Wolfgang Schulze,Günther Wildenhainpulation of players, each of which having a particular strategy. Both, zero and nonzero sum games are solved by the coevolutionary procedure. Contrary to mathematical programming-based and other heuristic solution procedures, the coevolutionary approach produces a set of solutions whose strategies achieve comparable payoffs.
55#
發(fā)表于 2025-3-31 01:43:45 | 只看該作者
Methoden der Umweltbildungsforschungcluster labeling and multi-document summarization. The experimental studies show that the proposed measures outperform several internal measures existing on literature. Additionally, the application of Rough Text is illustrated.
56#
發(fā)表于 2025-3-31 06:12:13 | 只看該作者
57#
發(fā)表于 2025-3-31 11:16:11 | 只看該作者
58#
發(fā)表于 2025-3-31 17:06:03 | 只看該作者
Rough Set Theory Measures for Quality Assessment of a Training Settabases. New training sets are built taking into account the results of the measures and the accuracy obtained by the classifiers, aiming to infer the accuracy that the classifiers would obtain by using a new training set. This is possible using a rule generator (C4.5) and a function estimation algorithm (k-NN).
59#
發(fā)表于 2025-3-31 18:41:05 | 只看該作者
Construction of Rough Set-Based Classifiers for Predicting HIV Resistance to Nucleoside Reverse Tran sequence of viral enzyme reverse transcriptase (one of two main targets for anti-viral drugs), the rules describe the way the biochemical properties of amino acid have to change in order to acquire drug resistance. Preliminary biomolecular analysis suggests the applicability of the model.
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