Now showing items 1-10 of 13
Fuzzy Regression VS. Ordinary Least Squares Regression: Case Study
Regresión Borrosa VS. Regresión por Mínimos Cuadrados Ordinarios: Caso de Estudio
The objective of this paper is to disseminate the technique of fuzzy regression and to give a practical example of its use. To this end, classical regression is compared to several fuzzy regression models on a problem ...
Optimal Control of Pollution Stock through Ecological Interaction of the Manufacturer and the State
Control Óptimo de Contaminación Almacenada a través de Interacción Ecológica entre el Fabricante y el Estado
A model of an interaction between a manufacturer and the state where the manufacturer produces a single product and the state controls the level of pollution is created and investigated. A local economy with a stock pollution ...
Heuristic for Solving the Multiple Alignment Sequence Problem
Heurística para Solucionar el Problema Alineamiento Múltiple de Secuencias
In this paper we developed a new algorithm for solving the problem of multiple sequence alignment (AM S), which is a hybrid metaheuristic based on harmony search and simulated annealing. The hybrid was validated with the ...
The Decreasing digits and the a, b, c Model: A Proposal for Handling Populations in Shelters
Los Dígitos Decrecientes y el Modelo a, b, c: Una Propuesta para el Manejo de Poblaciones en Albergues
Happened a catastrophe, some one of the impacted population should their move from its homes, toward refuges or shelters. To guarantee the essential services in the shelter, it is necessary to know the population size that ...
Minimal Reducts with Grasp
Reductos Mínimos con Grasp
The proper detection of patient level of dementia is important to offer the suitable treatment. The diagnosis is based on certain criteria, reflected in the clinical examinations. From these examinations emerge the limitations ...
Heuristics for Solving the Multiple Problem Identification of the Responses of Brain and Artificial Neural Networks in the Presence of Usual and Unusual Stimuli by Means of Kalman-Type Filters
Identificación de las Respuestas de Redes Neuronales Cerebrales y Artificiales ante la Presencia de Estímulos Frecuentes e Infrecuentes mediante Filtros de tipo Kalman
We consider the problem of obtaining information about the recognition of logical inconsistencies with already imprinted patterns of a subnetwork of a neural network, both cerebral and artificially designed, by means of ...
Integral Equations for the Aggregate Claim Amount
Ecuaciones Integrales para el Monto Agregado de Reclamaciones
In the context of insurance mathematics, we study the renewal properties of the so-called aggregate claim amount for the non-discounted and the discounted case. For these models, we set integral equations for the distribution ...
Regresion PLS y PCA como Solucion al Problema de Multicolinealidad en Regresion Multiple
Regresion PLS y PCA Como Solución al Problema de Multicolinealidad en Regresion Multiple
We present and compare principal components regression and partial least squares regression, and their solution to the problem of multicollinearity. We illustrate the use of both techniques, and demonstrate the superiority ...
Creation of a Model of Pollutans Diffusion in Soil-Water System Using a Cellular Automata
Uso de un Autómata Celular para Crear un Modelo de Difusión de Contaminantes en un Sistema Suelo–Agua
In this paper is presented a developed model for a pollutant diffusion in a soil-water system, for specific conditions in a real study area. A model that allows the observations of the pollutant flow in the soil-water ...
Personnel Selection Based on Fuzzy Methods
Selección de Personal Basada en Métodos Difusos
The decisions of managers regarding the selection of staff strongly determine the success of the company. A correct choice of employees is a source of competitive advantage. We propose a fuzzy method for staff selection, ...