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发表于 2025-3-21 18:44:02
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发表于 2025-3-21 23:58:12
,On Some Applications of Williamson’s Transform in Copula Theory,amson’s transformation (and Laplace transform), especially when arranged in a sequence. Naturally, there appears a question: how can we use statistical properties of distance functions to draw statistical properties of copulas, and vice versa? This question is formulated in two open problems.
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发表于 2025-3-22 02:35:53
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发表于 2025-3-22 04:40:17
Aggregating Fuzzy Subgroups and ,-vague Groups, of crisp subgroup, .-vague groups can be identified with quotient groups of a group by a normal fuzzy subgroup and there is a close relation between both structures and .-indistinguishability operators (fuzzy equivalence relations)..In this paper the functions that aggregate fuzzy subgroups and .-v
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发表于 2025-3-22 11:05:30
Families of Perturbation Copulas Generalizing the FGM Family and Their Relations to Dependence Measralization of the FGM family of copulas for parameters from the unit interval. However the FGM family is defined for parameters from the interval .. We present a construction of perturbations of an arbitrary copula also for parameters from the interval . so that together with the former family of pe
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发表于 2025-3-22 15:39:04
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发表于 2025-3-22 20:57:24
CMin-Integral: A Choquet-Like Aggregation Function Based on the Minimum t-Norm for Applications toMinimum t-norm, showing an application in fuzzy rule-based classification systems. The CC-integral is built from the standard Choquet integral, which is expanded by distributing the product operation, and, then, the product operation is generalized by a copula. In this paper, we study the behavior
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发表于 2025-3-23 03:24:27
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发表于 2025-3-23 09:15:22
,On the Aggregation of Zadeh’s Z-Numbers Based on Discrete Fuzzy Numbers,ed the concept of Z-number which has a great potential not only from the theoretical point of view but also for many possible applications such as in economics, decision analysis, risk assessment, etc. Recently, the authors proposed a new vision of Zadeh’s Z-numbers based on discrete fuzzy numbers t