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Titlebook: Enric Trillas: A Passion for Fuzzy Sets; A Collection of Rece Luis Magdalena,Jose Luis Verdegay,Francesc Esteva Book 2015 Springer Internat

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樓主: Manipulate
51#
發(fā)表于 2025-3-30 11:12:24 | 只看該作者
https://doi.org/10.1007/978-94-007-4629-9y Trillas in 1979. We also show that interval type-2 fuzzy sets are a three dimensional representation of interval-valued fuzzy sets and we analyze the problems to build complementation for such interval type-2 fuzzy sets. We finally propose a method to construct this complementation.
52#
發(fā)表于 2025-3-30 15:50:56 | 只看該作者
53#
發(fā)表于 2025-3-30 19:29:54 | 只看該作者
54#
發(fā)表于 2025-3-30 23:03:29 | 只看該作者
55#
發(fā)表于 2025-3-31 03:33:10 | 只看該作者
not normal, but truncated at a level determined by the degree of satisfaction of the corresponding premises. Taking in account that since the early works of fuzzy control, the . meaning of such aggregations of fuzzy sets is considered to be given by the abscissa of their centroids, a working hypoth
56#
發(fā)表于 2025-3-31 07:47:08 | 只看該作者
https://doi.org/10.1007/978-3-642-65133-5efully chosen, from the abundant panorama we have been allowed to gaze at in the years, two different but intertwined topics of a more . character, which—as such—are, obviously, not only outside the topics massively developed by the scientific community in this field but also not in the mainstream o
57#
發(fā)表于 2025-3-31 13:06:50 | 只看該作者
58#
發(fā)表于 2025-3-31 14:10:42 | 只看該作者
https://doi.org/10.1007/978-981-13-1586-2dispensable to generalise Formal Concept Analysis. The concrete goal of the paper is to make evident that Galois connections, which are at the heart of some of the generalizations of Formal Concept Analysis, can be interpreted as fuzzy incidents. Thus knowledge processing, discovery, exploration and
59#
發(fā)表于 2025-3-31 17:41:40 | 只看該作者
60#
發(fā)表于 2025-4-1 01:40:38 | 只看該作者
https://doi.org/10.1007/978-1-349-61837-8Clustering tasks in high-dimensional spaces have a set of very difficult challenges, especially for one of the most widely used clustering algorithms: Fuzzy c-Means. Three alternatives to Fuzzy c-Means are described that can overcome its problems.
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