In this work, a basic epidemiological model is used to determine the evolution of COVID-19 in each of the regions of Peru. For determining the parameters of the model which characterize a certain epidemic, the reports of infected, deceased and recovered people provided by the Regional Health Management of Peru are used. As a result, we obtained the configuration of the infected, susceptible and removed which are consistent with the existing bibliography, thus we also obtain a time interval in which there is a considerable number of infected, the maximum number of infected and the date on which it occurs.

In this work, a basic epidemiological model is used to determine the evolution of COVID-19 in each of the regions of Peru. For determining the parameters of the model which characterize a certain epidemic, the reports of infected, deceased and recovered people provided by the Regional Health Management of Peru are used. As a result, we obtained the configuration of the infected, susceptible and removed which are consistent with the existing bibliography, thus we also obtain a time interval in which there is a considerable number of infected, the maximum number of infected and the date on which it occurs.

En este trabajo se formula un modelo de optimización multiobjetiva para la planificación de un centro de generación eólica que maximiza el ingreso y minimiza los desequilibrios de los costos de oferta. La estrategia de la solución que se utiliza está basada en la teoría de optimización difusa, en la que se utiliza la función de pertenencia lineal.

En este trabajo se formula un modelo de optimización multiobjetiva para la planificación de un centro de generación eólica que maximiza el ingreso y minimiza los desequilibrios de los costos de oferta. La estrategia de la solución que se utiliza está basada en la teoría de optimización difusa, en la que se utiliza la función de pertenencia lineal

En este trabajo se formula un modelo de optimización multiobjetiva para la planificación de un centro de generación eólica que maximiza el ingreso y minimiza los desequilibrios de los costos de oferta. La estrategia de la solución que se utiliza está basada en la teoría de optimización difusa, en la que se utiliza la función de pertenencia lineal.

En este trabajo se formula un modelo de optimización multiobjetiva para la planificación de un centro de generación eólica que maximiza el ingreso y minimiza los desequilibrios de los costos de oferta. La estrategia de la solución que se utiliza está basada en la teoría de optimización difusa, en la que se utiliza la función de pertenencia lineal

Fuzzy set theory was used for modeling and fuzzy optimization methods for solving the problem of farmland fertilization considering the fuzzy constraints and costs. A method solution was proposed based on the proposals of Lai-Hwang, Leberling and Verdegay. The methodology that transforms a fuzzy objective into a multi-objective optimization problem, and these into fuzzy goals, and finally alfa-cut is used to transform it into a classic problem. The method is illustrated with an example. The solution obtained is a triple that represents a fuzzy number, which provides greater flexibility to the decision maker.

In this work the fuzzy formulation of the diet problem in the planning of the nutrition of the farms of laying hens is done, and then it is solved applying the methods proposed by Lai and Hwang and by Zimmermann.Finally, we solve a nutritional planning problem with twelve products of which 4 are diffuse and with 10 nutritional substances.

In this work the fuzzy formulation of the diet problem in the planning of the nutrition of the farms of laying hens is done, and then it is solved applying the methods proposed by Lai and Hwang and by Zimmermann.Finally, we solve a nutritional planning problem with twelve products of which 4 are diffuse and with 10 nutritional substances.

Se utilizó la teoría de conjuntos difusos para la modelación del problema de abonamiento y fertilización de terrenos agrícolas considerando los costos difusos. Con la ayuda de los lenguajes de programación y herramientas informáticas, se diseñó un software denominado FERTIDIF, que puede coadyuvar a la toma de una decisión apropiada sobre el uso de fertilizantes o abonos necesarios para un determinado cultivo. El problema de fertilización se resolvió mediante la adaptación de metodologías de solución, propuestos por Lai-Hwang y Leberling; metodologías que transforman un problema de programación difuso (costos difusos) en un problema de optimización multi-objetivo, el mismo que mediante la ayuda del software FERTIDIF se resuelve fácilmente y se ayuda a los especialistas en fertilización agrícola, a tomar decisiones sobre las cantidades de abonos o fertilizantes a utili...

The concepts of fuzzy sets theory for the mathematical modelling of fertilization farmland problems, considering fuzzy costs, are used. With support of programming languages and computer tools, a software called FERTIDIF to contribute in making decisions about the utilization of fertilizer and nutrients required for a particular crop, has been designed. The fertilization problem has been solvedby means of the adaptation of methodologies of solution proposed by Lai-Hwang and Leberling; methodologies transforming a fuzzy problem with fuzzy cost into a multi-objective optimization problem and solved easily by using the FERTIDIF software, providing to the agricultural fertilization specialists to take decisions about the amounts of fertilizer as well as to determine the minimum cost of the fertilization process for a given crop.

Se utilizó la teoría de conjuntos difusos para la modelación del problema de abonamiento y fertilización de terrenos agrícolas considerando los costos difusos. Con la ayuda de los lenguajes de programación y herramientas informáticas, se diseñó un software denominado FERTIDIF, que puede coadyuvar a la toma de una decisión apropiada sobre el uso de fertilizantes o abonos necesarios para un determinado cultivo. El problema de fertilización se resolvió mediante la adaptación de metodologías de solución, propuestos por Lai-Hwang y Leberling; metodologías que transforman un problema de programación difuso (costos difusos) en un problema de optimización multi-objetivo, el mismo que mediante la ayuda del software FERTIDIF se resuelve fácilmente y se ayuda a los especialistas en fertilización agrícola, a tomar decisiones sobre las cantidades de abonos o fertilizantes a utili...

In the modeling of many problems on linear optimization is not possible to consider the classic deterministic model because the set of parameters is not fully known due to the significant variation of the data along time or because there is no uniformity on the values. These kind of problems are known as problems with uncertainty and there are different approaches about modeling and methods of solution to resolve them. In this paper we make a review of such approaches focusing basically in stochastic optimization, fuzzy optimization, intervaling optimization and hybrid optimization. The difference between these approaches is perceived in the nature of the data, notions of feasibility and optimality and computational requirements, among others.

In the modeling of many problems on linear optimization is not possible to consider the classic deterministic model because the set of parameters is not fully known due to the significant variation of the data along time or because there is no uniformity on the values. These kind of problems are known as problems with uncertainty and there are different approaches about modeling and methods of solution to resolve them. In this paper we make a review of such approaches focusing basically in stochastic optimization, fuzzy optimization, intervaling optimization and hybrid optimization. The difference between these approaches is perceived in the nature of the data, notions of feasibility and optimality and computational requirements, among others.

In this work, we simulate the dynamics of COVID-19 pandemic using a deterministic SIRD model and its stochastic SIRD model version. The model is used under a closed population of 32 625 984 from the peruvian country, where the coefficient of the transmission rate, the recovery rate, the dead rate and the initial condition are given for the data taken from the initial days reported by the first disease people in Peru.