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Titlebook: Computational Intelligence and Mathematics for Tackling Complex Problems 3; István á. Harmati,László T. Kóczy,Eloísa Ramírez-P Book 2022 T

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發(fā)表于 2025-3-28 16:16:09 | 只看該作者
42#
發(fā)表于 2025-3-28 21:37:41 | 只看該作者
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發(fā)表于 2025-3-29 02:28:20 | 只看該作者
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發(fā)表于 2025-3-29 05:44:40 | 只看該作者
45#
發(fā)表于 2025-3-29 07:23:15 | 只看該作者
,Extensions of Fuzzy Measures Based on Double Generalization of the Lovász Extension Formula,ary function . and the minimum operator by a suitable aggregation function . is studied. In particular, pairs (.,?.) yielding a functional, which is for all fuzzy measures both aggregation function and extension of fuzzy measures, are investigated.
46#
發(fā)表于 2025-3-29 12:18:43 | 只看該作者
Linguistic Descriptions of Data Via Fuzzy Formal Concept Analysis,led. The main idea is to create a linguistic description from a database which has been previously transformed into a fuzzy formal context via a set of linguistic variables. From the obtained context, linguistic descriptions can be automatically generated through the information provided by the meet-irreducible concepts.
47#
發(fā)表于 2025-3-29 17:49:53 | 只看該作者
Rough Sets and Topology in AST: A Study Via Higher-Order Fuzzy Logic,ions introduced in the Alternative Set Theory (AST). Using the formalism of higher-order fuzzy logic (FTT), we prove . that the main properties and relations among all the considered concepts hold both in classical as well as rough fuzzy set theory, and show that the basic concepts of rough sets are among some of the topological concepts of AST.
48#
發(fā)表于 2025-3-29 21:11:53 | 只看該作者
§ 5 Delikte gegen die Privatsph?renstants and closed under arbitrary sups and finite infs) of ., the latter is a set of all .-fuzzy subsets of .. We use an analogy with the way how a fuzzy subgroupoid was introduced in H?hle (Non-classical logics and their applications to fuzzy subsets: a handbook on the mathematical foundations of
49#
發(fā)表于 2025-3-30 02:30:26 | 只看該作者
50#
發(fā)表于 2025-3-30 06:01:43 | 只看該作者
§ 5 Delikte gegen die Privatsph?reariant fusion functions. In particular, we show that in the case of aggregation functions the obtained transforms need not be aggregation functions but they are always pre-aggregation functions. We also provide sufficient conditions for constructing aggregation functions which are ratio scale, diffe
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