Capacities and Games on Lattices: A Survey of Result [PDF]
We provide a survey of recent developments about capacities (or fuzzy measures) and ccoperative games in characteristic form, when they are defined on more general structures than the usual power set of the universal set, namely lattices. In a first part,
Michel Grabisch
core
Prioritizing competencies for soldier's mental resilience: an application of integrative fuzzy-trapezoidal decision-making trial and evaluation laboratory in updating training program. [PDF]
Bekesiene S +6 more
europepmc +1 more source
Using Artificial Intelligence-Based Collaborative Teaching in Media Learning. [PDF]
Wang W, Liu Z.
europepmc +1 more source
Cooperative Multicriteria Games with Public and Private Criteria: An Investigation of Core Concepts
A new class of cooperative multicriteria games is introduced which takes into account two different types of criteria: private criteria, which correspond to divisible and excludable goods, and public criteria, which in an allocation take the same value ...
Voorneveld, M. +1 more
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A Systematic Review of Using Deep Learning Technology in the Steady-State Visually Evoked Potential-Based Brain-Computer Interface Applications: Current Trends and Future Trust Methodology. [PDF]
Albahri AS +6 more
europepmc +1 more source
Quality of interactive media use in early childhood and child development: a multicriteria analysis. [PDF]
Nobre JNP +7 more
europepmc +1 more source
Puntos óptimos y puntos de silla en los juegos bipersonales de suma cero con varios objetivos [PDF]
Publicad
Heras Martínez, Antonio +2 more
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A Machine Learning Challenge: Detection of Cardiac Amyloidosis Based on Bi-Atrial and Right Ventricular Strain and Cardiac Function. [PDF]
Eckstein J +7 more
europepmc +1 more source
A perfectness concept for multicriteria games
This paper considers a refinement of equilibria for multicriteria games based on the perfectness concept of Selten (1975). Existence of perfect equilibrium points is shown and several characterizations are provided.
Borm, P.E.M., Tijs, S.H., Megen, F. van
core
Machine Learning Algorithms for Activity-Intensity Recognition Using Accelerometer Data. [PDF]
Gomes E +5 more
europepmc +1 more source

