explicit
发表于 2025-3-23 13:28:55
The Goodman-Nguyen Relation in Uncertainty Measurementon in determining the natural extension of lower/upper probabilities defined on certain sets of conditional events. Further, a generalisation of the Goodman–Nguyen relation to conditional random numbers is proposed.
精致
发表于 2025-3-23 15:55:03
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MAG
发表于 2025-3-23 21:59:27
Towards a Robust Imprecise Linear Deconvolutioncount for a partial knowledge of the impulse response of the sensor. In this article, we experimentally show that inverting a Choquet capacity-based model of an imprecise knowledge of this impulse response allows to robustly recover the measured signal. The method we use is an interval valued extension of the well known Schultz procedure.
感情
发表于 2025-3-24 01:24:01
On Equations with a Fuzzy Stochastic Integral with Respect to Semimartingales respect to a semimartingale. We obtain the existence and uniqueness of global solutions to fuzzy stochastic integral equations driven by continuous semimartingales. Also, we present a stability of solutions under changes of equation’s data.
epicardium
发表于 2025-3-24 03:17:00
A Linear Regression Model for Interval-Valued Response Based on Set Arithmeticn of the model is solved by means of a constrained minimization problem which guarantees the coherency of the estimators with the regression parameters. The practical applicability of the estimation method is checked on a real-life example, and the empirical behaviour of the procedure is shown by means of some simulation studies.
关节炎
发表于 2025-3-24 07:35:52
Bootstrap Comparison of Statistics for Testing the Homoscedasticity of Random Fuzzy Sets deeper comparison between some bootstrap statistics based on both Levene’s and Bartlett’s classical procedures for testing the homoscedasticity of several random fuzzy sets is analyzed. The empirical behaviour of those statistics is investigated by means of simulation studies concerning both type I and type II errors.
反应
发表于 2025-3-24 11:40:06
Exploring Big Data with Scalable Soft Clusteringdistributed clustering, stream data clustering and subsampling approaches to enable scalable clustering. Examples will show that one can scale to build good models of the data without necessarily seeing all the data and, if needed, modified algorithms can be applied to terabytes and more of data.
Muffle
发表于 2025-3-24 17:01:39
A Proposal of Robust Regression for Random Fuzzy Setsr to avoid inadequate results. After discussing the concept of outliers for fuzzy sets, a robust regression method is introduced on the basis of one of the proposals available in the literature. The robust regression method is applied to a synthetic data set and a comparison with the non-robust counterpart is given.
绝种
发表于 2025-3-24 20:07:17
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优雅
发表于 2025-3-25 00:51:57
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