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Titlebook: Untersuchungen über das Verhalten von Schwerwerkzeugmaschinen unter statischer und dynamischer Belas; Herwart Opitz,Ernst Ulrich Dregger,E

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樓主: papyrus
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發(fā)表于 2025-3-23 11:59:55 | 只看該作者
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發(fā)表于 2025-3-23 14:20:12 | 只看該作者
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發(fā)表于 2025-3-23 19:02:59 | 只看該作者
Herwart Opitz,Ernst Ulrich Dregger,Günther Geiger,Ernst Rehling a new mathematical approach to imperfect knowledge..The problem of imperfect knowledge has been tackled for a long time by philosophers, logicians and mathematicians. Recently it became also a crucial issue for computer scientists, particularly in the area of artificial intelligence. There are many
14#
發(fā)表于 2025-3-23 23:43:55 | 只看該作者
Herwart Opitz,Ernst Ulrich Dregger,Günther Geiger,Ernst Rehlinggnals, and monitors the operating status of plant items. A key issue for substation data analysis is the adequacy of our knowledge available to describe certain concepts of power system states. It may happen sometimes that these concepts cannot be classified crisply based on the data/information col
15#
發(fā)表于 2025-3-24 06:07:52 | 只看該作者
Herwart Opitz,Ernst Ulrich Dregger,Günther Geiger,Ernst Rehlings and - proximationspaceswereintroducedmorethan30yearsagobyZdzis lawPawlak. These advances have profound implications in a number of research areas such as the foundations of rough sets, approximate reasoning, arti?cial intelligence, bioinformatics,computationalintelligence, cognitivescience, intell
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發(fā)表于 2025-3-24 09:41:17 | 只看該作者
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發(fā)表于 2025-3-24 11:43:44 | 只看該作者
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發(fā)表于 2025-3-24 18:45:49 | 只看該作者
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發(fā)表于 2025-3-24 22:38:11 | 只看該作者
Herwart Opitz,Ernst Ulrich Dregger,Günther Geiger,Ernst Rehlingudy is based on the conceptual framework of information quanta [4,5], where each system is defined as a relational structure and all approximation operators are defined in terms of Galois connections. We start our investigation with Scott systems, that is sets equipped with Scott entailment relation
20#
發(fā)表于 2025-3-24 23:47:23 | 只看該作者
a decision table like database from both vertical and horizontal directions. Fuzzy rough sets has been proven to be a useful tool of attribute reduction (i.e. reduce decision table from vertical direction). However, relatively less researches on decision table reduction using fuzzy rough sets has be
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