38 research outputs found
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 te贸ricos de ciencia de la computaci贸nRed de Universidades con Carreras en Inform谩tica (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 te贸ricos de ciencia de la computaci贸nRed de Universidades con Carreras en Inform谩tica (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鈥檚 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鈥檚 benefits is presented.Eje: Workshop Agentes y sistemas inteligentes (WASI)Red de Universidades con Carreras en Inform谩tica (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 Inform谩tica e Investigaci贸n 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 te贸ricos de ciencia de la computaci贸nRed de Universidades con Carreras en Inform谩tica (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 Inform谩tic
Framework para toma de decisiones multi-experto multi-granular con informaci贸n ling眉铆stica
En t茅rminos generales, el proceso de Toma de Decisi贸n (TD) est谩 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 resoluci贸n de un problema. Cuando la informaci贸n que se maneja para dicho proceso de TD es incierta y cuando en 茅l participan m煤ltiples expertos, el proceso se vuelve a煤n m谩s complejo. En este sentido, existen diversos modelos y propuestas que ayudan a gestionar este tipo de problemas. En este proyecto se propone la construcci贸n de un framework que permita ayudar en el proceso de TD con incertidumbre de una manera flexible y gen茅rica y que adem谩s puedan utilizarlo m煤ltiples expertos (ME) simult谩neamente obteniendo una soluci贸n grupal para cada problema. Adem谩s se eval煤an diferentes modelos de informaci贸n incierta con diferentes operadores de agregaci贸n para mejorar el proceso de TD ME.Eje: Agentes y Sistemas InteligentesRed de Universidades con Carreras en Inform谩tica (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 Inform谩tica e Investigaci贸n Operativ
Framework IoT aplicado a monitoreo de precipitaciones de la provincia del Chaco
En los 煤ltimos a帽os, en la provincia del Chaco, se generaron abundantes precipitaciones provocando inundaciones y generando p茅rdidas para el sector agr铆cola, ganadero y la sociedad en general. A su vez, la aparici贸n de enfermedades debido a la saturaci贸n que sufren las napas por los anegamientos de agua por largos per铆odos, se proliferaron. Esta problem谩tica exige que se tomen medidas para tener datos confiables y disponibles, esencialmente de precipitaciones, para tomar decisiones. En este sentido, nuestro trabajo de investigaci贸n y desarrollo se basa la necesidad de contar con una fuente de datos precisos y en tiempo real que contribuyan a la activaci贸n de los distintos planes de contingencias que se encuentran establecidos y dar soporte a la toma de decisiones. As铆, este trabajo se centra, espec铆ficamente, en la contribuci贸n tecnol贸gica para afrontar estos cambios clim谩ticos y se propone un Framework IoT aplicado al monitoreo de precipitaciones en toda la provincia del Chaco, que va desde la captaci贸n de las precipitaciones mediante pluvi贸metros, la comunicaci贸n por fibra 贸ptica, procesamiento, generaci贸n de alertas y estad铆sticas en tiempo real.II Track de Gobierno Digital y Ciudades InteligentesRed de Universidades con Carreras en Inform谩tic
Framework IoT aplicado a monitoreo de precipitaciones de la provincia del Chaco
En los 煤ltimos a帽os, en la provincia del Chaco, se generaron abundantes precipitaciones provocando inundaciones y generando p茅rdidas para el sector agr铆cola, ganadero y la sociedad en general. A su vez, la aparici贸n de enfermedades debido a la saturaci贸n que sufren las napas por los anegamientos de agua por largos per铆odos, se proliferaron. Esta problem谩tica exige que se tomen medidas para tener datos confiables y disponibles, esencialmente de precipitaciones, para tomar decisiones. En este sentido, nuestro trabajo de investigaci贸n y desarrollo se basa la necesidad de contar con una fuente de datos precisos y en tiempo real que contribuyan a la activaci贸n de los distintos planes de contingencias que se encuentran establecidos y dar soporte a la toma de decisiones. As铆, este trabajo se centra, espec铆ficamente, en la contribuci贸n tecnol贸gica para afrontar estos cambios clim谩ticos y se propone un Framework IoT aplicado al monitoreo de precipitaciones en toda la provincia del Chaco, que va desde la captaci贸n de las precipitaciones mediante pluvi贸metros, la comunicaci贸n por fibra 贸ptica, procesamiento, generaci贸n de alertas y estad铆sticas en tiempo real.II Track de Gobierno Digital y Ciudades InteligentesRed de Universidades con Carreras en Inform谩tic