Buscar
Mostrando ítems 1-10 de 1148
Analysis on extensions of multi-expert decision making model with respect to OWA-based aggregation processes
(Springer, 2018)
In this paper, an analysis on extensions of multi-expert decision
making model based on ordered weighted averaging (OWA) operators is presented.
The focus is on the aggregation of criteria and the aggregation of
individual ...
The reliability of experts' opinions in constructing a composite environmental index: The case of ESI 2005
(Academic Press Ltd Elsevier B.V. Ltd, 2009-06-01)
The complexity of the environment demands a well-constructed composite environmental index (CEI) to provide a useful tool to draw attention to environmental conditions and trends for policy purposes. Among the common ...
The reliability of experts' opinions in constructing a composite environmental index: The case of ESI 2005
(Academic Press Ltd Elsevier B.V. Ltd, 2009-06-01)
The complexity of the environment demands a well-constructed composite environmental index (CEI) to provide a useful tool to draw attention to environmental conditions and trends for policy purposes. Among the common ...
Owa-based aggregation operations in multi-expert MCDM model
(Academy of Economic Studies, 2017)
This paper presents an analysis of multi-expert multi-criteria decision making (ME-MCDM) model based on the ordered weighted averaging (OWA) operators. Two methods of modeling the majority opinion are studied as to aggregate ...
The reliability of experts' opinions in constructing a composite environmental index: The case of ESI 2005
(Academic Press Ltd Elsevier B.V. Ltd, 2014)
Pattern classification with mixtures of weighted least-squares support vector machine experts
(SpringerNew YorkEUA, 2009)
A proposal for mixture of experts with entropic regularization
(IEEE, 2017)
In these days, there are a growing interest in pattern recognition for tasks as prediction of weather events, recommendation of the best route, intrusion detection or face detection. Each of these tasks can be modelled as ...
Applying Dempster–Shafer theory for developing a flexible, accurate and interpretable classifier
(Elsevier, 2020)
Two approaches have traditionally been identified for developing artificial intelligence systems supporting decision-making: Machine Learning, which applies general techniques based on statistical analysis and optimization ...