On aggregation process in linguistic decision making framework

When solving a problem, human beings must face situations in which they should choose among different alternatives by means of reasoning and mental processes. Many of these decision problems are under uncertain environments including vague, imprecise and subjective information that is usually modeled by fuzzy linguistic approach. This approach uses linguistic information or natural language words and its relation to mental reasoning processes of the experts when expressing their assessments. In a decision process multiple criteria can be evaluated which involving multiple experts with different degrees of knowledge. Such process can be modeled by using Multi-granular Linguistic Information (MGLI) and Computing with Words (CW) processes to solve the related decision problems. Once decision makers (experts) provided their opinions, it is necessary to combine all these opinions to obtain a single overall result that can be interpreted. An aggregation operator allows accomplishing this objective calculating a global value in different ways. In this paper we study the use of aggregation operators in multi-criteria decision-making processes comparing them and obtaining conclusions about their use in our framework. Furthermore, we propose a new aggregation operator taking into account the criteria importance to evaluate the alternatives, and then an illustrative example shows its outcomes.WATCC - IV Workshop aspectos teóricos de ciencia de la computaciónRed de Universidades con Carreras en Informática (RedUNCI

On aggregation process in linguistic decision making framework

When solving a problem, human beings must face situations in which they should choose among different alternatives by means of reasoning and mental processes. Many of these decision problems are under uncertain environments including vague, imprecise and subjective information that is usually modeled by fuzzy linguistic approach. This approach uses linguistic information or natural language words and its relation to mental reasoning processes of the experts when expressing their assessments. In a decision process multiple criteria can be evaluated which involving multiple experts with different degrees of knowledge. Such process can be modeled by using Multi-granular Linguistic Information (MGLI) and Computing with Words (CW) processes to solve the related decision problems. Once decision makers (experts) provided their opinions, it is necessary to combine all these opinions to obtain a single overall result that can be interpreted. An aggregation operator allows accomplishing this objective calculating a global value in different ways. In this paper we study the use of aggregation operators in multi-criteria decision-making processes comparing them and obtaining conclusions about their use in our framework. Furthermore, we propose a new aggregation operator taking into account the criteria importance to evaluate the alternatives, and then an illustrative example shows its outcomes.WATCC - IV Workshop aspectos teóricos de ciencia de la computaciónRed de Universidades con Carreras en Informática (RedUNCI

Multi-expert multi-criteria decision support model for traffic control

The common use of IP networking structures implies the increasing demand of resources by users and applications. For this reason, organizations must guarantee adequate conditions for critical traffic. To face this problem, network administrators constantly need to make decisions regarding this situation by means of using different strategies and tools of Quality of Service (QoS), such as Traffic Control (TC). Such decisions can be modeled by a decision support system that handles subjective information about decision maker’s perceptions. This information involves uncertainty and requires precise evaluation of traffic quality demanded. Subjectivity is modeled by using linguistic information (LI) in order to choose adequate solution to networking performance problems. This paper proposes a Multi-Expert (ME) Multi-Criteria (MC) Linguistic Decision Making (LDM) Model for TC in networking. Finally, an application example to show the model’s benefits is presented.Eje: Workshop Agentes y sistemas inteligentes (WASI)Red de Universidades con Carreras en Informática (RedUNCI

Decision Analysis Linguistic Framework

Everyday human beings are faced with situations they should choose among different alternatives by means of reasoning and mental processes when solving a problem. Many of these decision problems are under uncertain environments including vague, imprecise and subjective information that is usually modeled by linguistic information due to the use of natural language and its relation to mental reasoning processes of the experts when expressing their judgments. In a decision process multiple criteria can be evaluated which involving multiple experts with different degrees of knowledge. Such process can be modeled by using Multi-granular Linguistic Information (MGLI) and Computing with Words (CW) processes to solve the related decision problems. Different methodologies and approaches have been proposed to accomplish this process in an accurate and interpretable way. In this paper we propose a useful Decision Analysis Framework to manage this kind of problems by using the Extended Linguistic Hierarchy (ELH), 2-tuples linguistic representation model and its computational method. The developed Framework has many advantages when dealing with a complex problem in a simple way and its capability of having easy and useful reasonably results.Sociedad Argentina de Informática e Investigación Operativ

On aggregation process in linguistic decision making framework

When solving a problem, human beings must face situations in which they should choose among different alternatives by means of reasoning and mental processes. Many of these decision problems are under uncertain environments including vague, imprecise and subjective information that is usually modeled by fuzzy linguistic approach. This approach uses linguistic information or natural language words and its relation to mental reasoning processes of the experts when expressing their assessments. In a decision process multiple criteria can be evaluated which involving multiple experts with different degrees of knowledge. Such process can be modeled by using Multi-granular Linguistic Information (MGLI) and Computing with Words (CW) processes to solve the related decision problems. Once decision makers (experts) provided their opinions, it is necessary to combine all these opinions to obtain a single overall result that can be interpreted. An aggregation operator allows accomplishing this objective calculating a global value in different ways. In this paper we study the use of aggregation operators in multi-criteria decision-making processes comparing them and obtaining conclusions about their use in our framework. Furthermore, we propose a new aggregation operator taking into account the criteria importance to evaluate the alternatives, and then an illustrative example shows its outcomes.WATCC - IV Workshop aspectos teóricos de ciencia de la computaciónRed de Universidades con Carreras en Informática (RedUNCI

Using combination of actions in reinforcement learning

Software agents are programs that can observe their environment and act in an attempt to reach their design goals. In most cases the selection of particular agent architecture determines the behaviour in response to the different problem states However, there are some problem domains in which it is desirable that the agent learns a good action execution policy by interacting with its environment. This kind of learning is called Reinforcement Learning and it is useful in the process control area. Given a problem state, the agent selects the adequate action to do and receives an immediate reward, then estimations about every action are updated and, after a certain period of time, the agent learns which the best action to be executed is. Most reinforcement learning algorithms perform simple actions while two or more are capable of being used. This work involves the use of RL algorithms to find an optimal policy in a gridworld problem and proposes a mechanism to combine actions of different types.Facultad de Informátic

Framework para toma de decisiones multi-experto multi-granular con información lingüística

En términos generales, el proceso de Toma de Decisión (TD) está presente en diversas actividades humanas y consiste en elegir la/s mejor/es alternativa/s entre un conjunto de alternativas posibles en pos de alcanzar un/os objetivo/s que satisfaga/n la resolución de un problema. Cuando la información que se maneja para dicho proceso de TD es incierta y cuando en él participan múltiples expertos, el proceso se vuelve aún más complejo. En este sentido, existen diversos modelos y propuestas que ayudan a gestionar este tipo de problemas. En este proyecto se propone la construcción de un framework que permita ayudar en el proceso de TD con incertidumbre de una manera flexible y genérica y que además puedan utilizarlo múltiples expertos (ME) simultáneamente obteniendo una solución grupal para cada problema. Además se evalúan diferentes modelos de información incierta con diferentes operadores de agregación para mejorar el proceso de TD ME.Eje: Agentes y Sistemas InteligentesRed de Universidades con Carreras en Informática (RedUNCI

Decision Analysis Linguistic Framework

Everyday human beings are faced with situations they should choose among different alternatives by means of reasoning and mental processes when solving a problem. Many of these decision problems are under uncertain environments including vague, imprecise and subjective information that is usually modeled by linguistic information due to the use of natural language and its relation to mental reasoning processes of the experts when expressing their judgments. In a decision process multiple criteria can be evaluated which involving multiple experts with different degrees of knowledge. Such process can be modeled by using Multi-granular Linguistic Information (MGLI) and Computing with Words (CW) processes to solve the related decision problems. Different methodologies and approaches have been proposed to accomplish this process in an accurate and interpretable way. In this paper we propose a useful Decision Analysis Framework to manage this kind of problems by using the Extended Linguistic Hierarchy (ELH), 2-tuples linguistic representation model and its computational method. The developed Framework has many advantages when dealing with a complex problem in a simple way and its capability of having easy and useful reasonably results.Sociedad Argentina de Informática e Investigación Operativ

Framework IoT aplicado a monitoreo de precipitaciones de la provincia del Chaco

En los últimos años, en la provincia del Chaco, se generaron abundantes precipitaciones provocando inundaciones y generando pérdidas para el sector agrícola, ganadero y la sociedad en general. A su vez, la aparición de enfermedades debido a la saturación que sufren las napas por los anegamientos de agua por largos períodos, se proliferaron. Esta problemática exige que se tomen medidas para tener datos confiables y disponibles, esencialmente de precipitaciones, para tomar decisiones. En este sentido, nuestro trabajo de investigación y desarrollo se basa la necesidad de contar con una fuente de datos precisos y en tiempo real que contribuyan a la activación de los distintos planes de contingencias que se encuentran establecidos y dar soporte a la toma de decisiones. Así, este trabajo se centra, específicamente, en la contribución tecnológica para afrontar estos cambios climáticos y se propone un Framework IoT aplicado al monitoreo de precipitaciones en toda la provincia del Chaco, que va desde la captación de las precipitaciones mediante pluviómetros, la comunicación por fibra óptica, procesamiento, generación de alertas y estadísticas en tiempo real.II Track de Gobierno Digital y Ciudades InteligentesRed de Universidades con Carreras en Informátic

Framework IoT aplicado a monitoreo de precipitaciones de la provincia del Chaco

En los últimos años, en la provincia del Chaco, se generaron abundantes precipitaciones provocando inundaciones y generando pérdidas para el sector agrícola, ganadero y la sociedad en general. A su vez, la aparición de enfermedades debido a la saturación que sufren las napas por los anegamientos de agua por largos períodos, se proliferaron. Esta problemática exige que se tomen medidas para tener datos confiables y disponibles, esencialmente de precipitaciones, para tomar decisiones. En este sentido, nuestro trabajo de investigación y desarrollo se basa la necesidad de contar con una fuente de datos precisos y en tiempo real que contribuyan a la activación de los distintos planes de contingencias que se encuentran establecidos y dar soporte a la toma de decisiones. Así, este trabajo se centra, específicamente, en la contribución tecnológica para afrontar estos cambios climáticos y se propone un Framework IoT aplicado al monitoreo de precipitaciones en toda la provincia del Chaco, que va desde la captación de las precipitaciones mediante pluviómetros, la comunicación por fibra óptica, procesamiento, generación de alertas y estadísticas en tiempo real.II Track de Gobierno Digital y Ciudades InteligentesRed de Universidades con Carreras en Informátic