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Traffic flow breakdown prediction using feature reduction through Rough-Neuro fuzzy Networks
(2011-10-24)
The prediction of the traffic behavior could help to make decision about the routing process, as well as enables gains on effectiveness and productivity on the physical distribution. This need motivated the search for ...
Traffic flow breakdown prediction using feature reduction through Rough-Neuro fuzzy Networks
(2011-10-24)
The prediction of the traffic behavior could help to make decision about the routing process, as well as enables gains on effectiveness and productivity on the physical distribution. This need motivated the search for ...
Biological image classification using rough-fuzzy artificial neural network
(2015-12-30)
This paper presents a methodology to biological image classification through a Rough-Fuzzy Artificial Neural Network (RFANN). This approach is used in order to improve the learning process by Rough Sets Theory (RS) focusing ...
Topological and algebraic characterization of coverings sets obtained in rough sets discretization and attribute reduction algorithms
(2015-04-28)
Abstract. A systematic study on approximation operators in covering based rough sets and some relations with relation based rough sets are presented. Two different frameworks of approximation operators in covering based ...
Falibilidad del método Rough Set en la conformación de modelos índice de riesgo dinámico en la predicción del fracaso empresarial
(Universidad ESAN. ESAN EdicionesPE, 2010-06-30)
Bankruptcy is one of the most important entrepreneurial problems studied by the Financial Theory. Despite this great effort there is not a significant progress in order to predict the economic failure. In this way the ...
Falibilidad del método Rough Set en la conformación de modelos índice de riesgo dinámico en la predicción del fracaso empresarial
(Universidad ESAN. ESAN EdicionesPE, 2010-06-30)
Bankruptcy is one of the most important entrepreneurial problems studied by the Financial Theory. Despite this great effort there is not a significant progress in order to predict the economic failure. In this way the ...
Dealing with Missing Data using a Selection Algorithm on Rough Sets
(ATLANTIS PRESS, 2018-01-01)
This paper discusses the so-called missing data problem, i.e. the problem of imputing missing values in information systems. A new algorithm, called the ARSI algorithm, is proposed to address the imputation problem of ...