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Titlebook: Strengthening Links Between Data Analysis and Soft Computing; Przemyslaw Grzegorzewski,Marek Gagolewski,María án Book 2015 Springer Intern

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樓主: grateful
31#
發(fā)表于 2025-3-26 23:03:28 | 只看該作者
32#
發(fā)表于 2025-3-27 03:38:46 | 只看該作者
33#
發(fā)表于 2025-3-27 07:58:57 | 只看該作者
34#
發(fā)表于 2025-3-27 10:54:27 | 只看該作者
The Wabl/Ldev/Rdev Median of a Random Fuzzy Number and Statistical Propertiesased on a representation of fuzzy numbers for which necessary and sufficient conditions to characterize them have been previously established. Relevant statistical properties for these medians are studied.
35#
發(fā)表于 2025-3-27 16:26:51 | 只看該作者
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發(fā)表于 2025-3-27 19:26:39 | 只看該作者
37#
發(fā)表于 2025-3-28 00:36:12 | 只看該作者
38#
發(fā)表于 2025-3-28 03:44:09 | 只看該作者
Stochastic Orders for Fuzzy Random Variablesen the random variables are imprecisely observed is to consider fuzzy random variables, so that the images become fuzzy sets. This paper proposes two comparison methods for fuzzy random variables: one based on fuzzy rankings and another one that uses the extensions of stochastic orders to an impreci
39#
發(fā)表于 2025-3-28 07:11:27 | 只看該作者
Interval Compositional Data: Problems and Possibilitiesclusively relative information. As a consequence, compositions can be represented as proportions or percentages without loss of information (contained in ratios between parts). Nevertheless, in the practice parts of compositional data are frequently formed by intervals; for example, concentrations o
40#
發(fā)表于 2025-3-28 13:48:30 | 只看該作者
A New Definition of Evaluation/Defuzzification of an Interval Type-2 Fuzzy Set (IT2 FS) defined by two Type-1 Fuzzy Quantities (T1 FQs) having membership functions that may be neither convex nor normal. We start from a parametric formula to evaluate them and we propose to call the IT2 FQ value their average. To compare the results we obtain changing the parameters, we use the
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