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Titlebook: Logic versus Approximation; Essays Dedicated to Wolfgang Lenski Book 2004 Springer-Verlag Berlin Heidelberg 2004 Fuzzy.agile software deve

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41#
發(fā)表于 2025-3-28 14:41:52 | 只看該作者
The Inherent Indistinguishability in Fuzzy Systems,k in which typical concepts and techniques applied in fuzzy systems and fuzzy control can be better understood and interpreted. They can also be used to describe the indistinguishability inherent in any fuzzy system that cannot be avoided.
42#
發(fā)表于 2025-3-28 21:24:51 | 只看該作者
On Models for Quantified Boolean Formulas,l variables, such that substituting the existential variables by the Boolean functions results in a true formula. We call a satisfying set of Boolean functions a model. In this paper, we investigate for various classes of quantified Boolean formulas and various classes of Boolean functions the probl
43#
發(fā)表于 2025-3-29 00:12:34 | 只看該作者
Polynomial Algorithms for MPSP Using Parametric Linear Programming,ce relations are of the intree(outtree) type, .|.(.),. .=1|. ., or if the number of processors is two, .2|.,. .=1|. .. In this paper, we introduce a parametric linear program which gives a lower bound for the makespan of MPSP and retrieves the makespans of the two polynomially solvable problems.
44#
發(fā)表于 2025-3-29 06:40:30 | 只看該作者
45#
發(fā)表于 2025-3-29 07:32:44 | 只看該作者
46#
發(fā)表于 2025-3-29 13:11:58 | 只看該作者
47#
發(fā)表于 2025-3-29 18:21:00 | 只看該作者
48#
發(fā)表于 2025-3-29 22:34:11 | 只看該作者
,Engineers Don’t Search,ch as diagnosis and design problems..In the field of Artificial Intelligence there is a long tradition in automated problem solving of knowledge-intensive tasks, and, especially in the early stages, the search paradigm dictated many approaches. Later, in the modern period, the hopelessness in view o
49#
發(fā)表于 2025-3-30 00:17:37 | 只看該作者
Randomized Search Heuristics as an Alternative to Exact Optimization,s. approximation vs. heuristic solutions, guaranteed run time vs. expected run time vs. experimental run time analysis. Here, a framework for a theory of randomized search heuristics is presented. After a brief history of discrete optimization, scenarios are discussed where randomized search heurist
50#
發(fā)表于 2025-3-30 05:46:40 | 只看該作者
Approximation of Utility Functions by Learning Similarity Measures,s results cannot simply be distinguished in this restrictive form. Instead to classify a result as correct or incorrect, here results might be more or less . for solving a given problem or for satisfying given user demands, respectively. In such a situation, an expert system should be able to estima
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