In this work, multivalued contexts are studied, in which the different observations are related to each other. Continuing the studies already carried out in previous works, the use of Choquet integrals can be an adequate tool for this situations. If in addition the set of objects or attributes of these contexts represent a temporal sequence, we can also represent these contexts as sequences of contexts that evolve in time and we can use tools in this field to extract information. Finally, as illustrative application, the developed theory is used to measure student progress in learning.This paper is partially supported by the Research Group “Intelligent Systems and Energy (SI+E)” of the University of the Basque Country—UPV/EHU, under G...
Capacities have been introduced by Choquet in 1953 [1], as well as a functional being known now as t...
[[abstract]]The weighted arithmetic mean and the regression methods are the most often used operator...
The Choquet integral (ChI) is an aggregation operator defined with respect to a fuzzy measure (FM). ...
This is an accepted manuscript of an article published by Taylor & Francis in International Journal ...
This paper will delve deeper into the general study of the L-fuzzy contexts associated with criteria...
Choquet integral operator is currently making inroads into many real multiple attribute analysis due...
Information extracted from L-fuzzy contexts is substantially improved by taking into account differe...
The Choquet integral, credited to Gustave Choquet in 1954, initially found its roots in decision mak...
International audienceThe main advances regarding the use of the Choquet and Sugeno integrals in mul...
International audienceThis paper investigates the statistical properties of the Choquet and Sugeno i...
Choquet integral and multistep Choquet integrals have been used in recent years as models for decisi...
peer reviewedWe present a model allowing to determine the weights related to interacting criteria. T...
This is an accepted manuscript of an article published by Taylor & Francis in International Journal ...
International audienceThis paper presents a multiple criteria decision support approach in order to ...
peer reviewedIn this paper we discuss the Choquet integral model in the realm of Preference Learning...
Capacities have been introduced by Choquet in 1953 [1], as well as a functional being known now as t...
[[abstract]]The weighted arithmetic mean and the regression methods are the most often used operator...
The Choquet integral (ChI) is an aggregation operator defined with respect to a fuzzy measure (FM). ...
This is an accepted manuscript of an article published by Taylor & Francis in International Journal ...
This paper will delve deeper into the general study of the L-fuzzy contexts associated with criteria...
Choquet integral operator is currently making inroads into many real multiple attribute analysis due...
Information extracted from L-fuzzy contexts is substantially improved by taking into account differe...
The Choquet integral, credited to Gustave Choquet in 1954, initially found its roots in decision mak...
International audienceThe main advances regarding the use of the Choquet and Sugeno integrals in mul...
International audienceThis paper investigates the statistical properties of the Choquet and Sugeno i...
Choquet integral and multistep Choquet integrals have been used in recent years as models for decisi...
peer reviewedWe present a model allowing to determine the weights related to interacting criteria. T...
This is an accepted manuscript of an article published by Taylor & Francis in International Journal ...
International audienceThis paper presents a multiple criteria decision support approach in order to ...
peer reviewedIn this paper we discuss the Choquet integral model in the realm of Preference Learning...
Capacities have been introduced by Choquet in 1953 [1], as well as a functional being known now as t...
[[abstract]]The weighted arithmetic mean and the regression methods are the most often used operator...
The Choquet integral (ChI) is an aggregation operator defined with respect to a fuzzy measure (FM). ...