凹处 发表于 2025-3-25 05:58:06
On the Applicability of Fuzzy Lines in Circular Hough Transform in Lesion Segmentation on Liver CT ils to find the contours of these objects, because of the larger or smaller irregularity of the shapes. Introducing a fuzzification in the edge filtered version of the image, which is usually the basis of a Hough transform, makes the Hough transform more flexible for using in liver CT image analysis.甜瓜 发表于 2025-3-25 10:22:06
http://reply.papertrans.cn/24/2325/232434/232434_22.png不在灌木丛中 发表于 2025-3-25 13:57:03
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Book 2023odel such human interaction, while (new) mathematical approaches are developed and used everywhere where the complexity of the sub-task allows it. The innovative approaches in this book give answer to many questions on how to solve “unsolvable” problems..BIAS 发表于 2025-3-25 20:35:36
Book 2023ematical approaches with various computational intelligence techniques, with a stress of fuzzy systems, and fuzzy logic...Complex systems are theoretically intractable, as the need of time and space resources (e.g., computer capacity) exceed any implementable extent. How is it possible that in the pharrow 发表于 2025-3-26 03:42:02
,Energy Determined Membership Function of Viscoelastic Models,sented by the model. In this paper the isothermal state is studied. Accordingly, the total amount of energy is split to stored and dissipated one, which defines the ratio of elastic and viscous strength of the model. Hereby, each viscoelastic model can be regarded from the fuzzy viewpoint. Thermodynamics plays the essential role here.canonical 发表于 2025-3-26 04:51:04
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http://reply.papertrans.cn/24/2325/232434/232434_28.pngRotator-Cuff 发表于 2025-3-26 13:57:52
http://reply.papertrans.cn/24/2325/232434/232434_29.pngdominant 发表于 2025-3-26 18:32:43
https://doi.org/10.1007/978-3-662-44934-9andard isomorphic .-transforms of aggregation functions. It covers, among others, several known construction methods, such as particular cases of ordinal sums of aggregation functions, e.g., of t-norms, copulas, t-conorms, etc. In this paper, we introduce a new construction method to aggregation fun