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Aggregation in models with quantity constraints: The CES aggregation function [PDF]
Empirical Economics, 2000 This paper is devoted to the problem of aggregation in models with quantity constraints. The focus is on quantity rationing macroeconomic (QRM) models where the micromarket outcome can be written as the minimum of several variables and where the diversity of situations across micromarkets is explicitly recognized.
Horst Entorf, Henri R. Sneessens
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Another look at inheritance of uniform continuity of 1-dimensional aggregation functions by their super-additive transformations [PDF]
Journal of Mahani Mathematical Research, 2022 In an earlier paper by Seliga, Siran and the second author (J. Mahani Math. Res. Center 8 (2019) 37–51) on lifting continuity properties of aggregation functions to their super- and sub-additive transformations it was shown that uniform continuity is ...
Fateme Kouchakinejad, Alexandra Siposova
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n-K-Increasing Aggregation Functions
Axioms, 2023 We introduce and discuss the concept of n-ary K-increasing fusion functions and n-ary K-increasing aggregation functions, K being a subset of the index set {1,…,n} indicating in which variables a considered function is increasing. It is also assumed that
Radko Mesiar +3 more
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Whole-Body Keypoint and Skeleton Augmented RGB Networks for Video Action Recognition
Applied Sciences, 2022 Incorporating multi-modality data is an effective way to improve action recognition performance. Based on this idea, we investigate a new data modality in which Whole-Body Keypoint and Skeleton (WKS) labels are used to capture refined body information ...
Zizhao Guo, Sancong Ying
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Preassociative Aggregation Functions [PDF]
Fuzzy Sets and Systems, 2014 The classical property of associativity is very often considered in aggregation function theory and fuzzy logic. In this paper we provide axiomatizations of various classes of preassociative functions, where preassociativity is a generalization of associativity recently introduced by the authors.
Marichal, Jean-Luc, Teheux, Bruno
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Aggregation functions: Means [PDF]
Information Sciences, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Grabisch, Michel +3 more
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Learning Aggregation Functions [PDF]
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021 Learning on sets is increasingly gaining attention in the machine learning community, due to its widespread applicability. Typically, representations over sets are computed by using fixed aggregation functions such as sum or maximum. However, recent results showed that universal function representation by sum- (or max-) decomposition requires either ...
Pellegrini, Giovanni +4 more
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Non-linear averaging-based operators of pseudo-hesitant fuzzy elements and an application
Croatian Operational Research Review, 2023 Data modeling/aggregating, in many uncertain real-world' problems such as decision-making processes, has gotten more attention in recent years. Due to a variety of uncertainty sources, various types of fuzzy sets, and various types of averaging-based ...
Abazar Keikha, Tabasam Rashid
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On Self-Aggregations of Min-Subgroups
Axioms, 2021 Preservation of structures under aggregation functions is an active area of research with applications in many fields. Among such structures, min-subgroups play an important role, for instance, in mathematical morphology, where they can be used to model ...
Carlos Bejines +2 more
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CENTER BASED CLUSTERING AND AVERAGING AGGREGATION FUNCTIONS [PDF]
Vestnik KRAUNC: Fiziko-Matematičeskie Nauki, 2017 We propose a new clustering method for partitioning of finite sets from Rn, which is based on the application of averaging aggregating functions and an iterative re-weighing method for searching cluster centers.
Z. M. Shibzukhov
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