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M. Obladenmodern methods as now they are well presented in numerous books and handbooks. Therefore, in this chapter we present the modern methods for uncertainty modeling only to the extent needed for understanding the applications presented in the following chapters.虚度 发表于 2025-3-30 18:24:37
M. Obladenvaluation, tool steel material selection problem, stock screening and fuzzy logistic. .It is well known that the best results in real -world applications can be obtained using the synthesis of modern methods of soft computing. Therefore, the developed by the author new approach to building effectivSubstance-Abuse 发表于 2025-3-30 20:53:25
J. WaldschmidtOlputing techniques, particularly with reference to their engineering applications. The applications range fran design optimisatioo to scheduling and image analysis. Goal optimisatioo with incomplete infmnatioo and under uncertainty is the key to solving real-life problems in design and manufacturinpainkillers 发表于 2025-3-31 03:24:02
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E. Kattnerof renewable generation into the grid, a trade-off has to be found between investment costs and imposed operational constraints. In order to determine the probability of congestions under these unpredictable conditions, mathematical algorithms are employed that are able to estimate the probability o帽子 发表于 2025-3-31 13:06:36
M. Obladenification of facts or rules as a matter of degree. Degrees adopted several forms: single degrees, intervals of degrees and linguistic truth-values, represented by triangular or trapezoidal numbers. Fuzzy solutions using degrees are valuable, but far from the way employed by human beings to solve daiforebear 发表于 2025-3-31 13:22:30
E. Kattnerf a given concept by means of a causal graph. The process is divided into three major parts. The first part creates a causal knowledge base by means of a detection and classification processes which are able to extract those sentences matching any of the causal patterns selected for this task. The s碌碌之人 发表于 2025-3-31 20:13:09
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