Examinando por Materia "Fuzzy Logic"
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Ítem Estimación del precio de oferta de la energía eléctrica en Colombia mediante inteligencia artificial.(Universidad Pablo de Olavide, 2014-12) Hurtado Moreno, Laura; Quintero Montoya, Olga Lucía; García Rendon, John Jairo; Universidad Eafit,Escuela de Economía y Finanzas, Medellín, Antioquia, Colombia; Universidad Eafit,Escuela de ciencias básicas, Medellín, Antioquia, Colombia; Universidad Eafit,Escuela de Economía y Finanzas, Medellín, Antioquia, Colombia; Escuela de Economía y Finanzas; Economía; Estudios en Economía y EmpresaÍtem Fuzzy Model for Risk Characterization in Avocado Crops for Index Insurance Configuration(Universidad EAFIT, 2023) Jiménez Benjumea, Juan Pablo; López Giraldo, Laura Isabel; Peña Palacio, Juan AlejandroClimate change has caused strong variations in agro-climatic parameters such as precipitation, temperature, and relative humidity, accelerating the phytosanitary conditions associated with agricultural crops, mainly in insect pests, since these generate an alteration in their life cycle and an increase in their population. This causes significant economic damage to important crops such as the Hass avo- cado, which has had a growing development and demand in national and inter- national markets, which has generated significant income for small and medium- sized farmers and exporters of this fruit in the country. To mitigate the impacts of climate change on agricultural production, it is possible to implement digital agriculture technologies. These technologies allow estimating the incidence of climate variations on crops through the monitoring of agro-climatic and phyto- sanitary variables that affect fruit growth. Therefore, a variable dispersion model with fuzzy characterization is proposed that seeks to establish a correlation be- tween rainfall and the aggregate distribution of losses in the Hass avocado crop. In order to analyze and validate the proposed model, the random variables related to phytosanitary risk were taken and characterized. Subsequently, the frequency and severity random variables were modeled as linguistic random variables using fuzzy logic concepts. The results indicate that rainfall is the key variable to cor- relate in the search for an index insurance model based on agricultural risk, as well as in the characterization of qualitative and quantitative risks, promoting the improvement of financial and environmental sustainability by reducing agricul- tural losses through better crop management.Ítem Measuring Quality Policy Deployment: A Fuzzy Logic Approach(ATLANTIS PRESS, 2015-01-01) Cogollo-Florez, Juan; Cogollo-Florez, Myladis; Florez-Rendon, Andrea; Cogollo-Florez, Juan; Cogollo-Florez, Myladis; Florez-Rendon, Andrea; Universidad EAFIT. Departamento de Ciencias; Modelado MatemáticoGlobal and balanced performance measurement in Quality Policy Deployment is a key element of quality management in public Higher Education Institutions (HEI's). This paper describes the design of a fuzzy linguistic model for measuring Quality Policy Deployment in a Colombian public HEI. The proposed model integrates Balanced Scorecard (BSC) principles with the theory of fuzzy sets for treatment of imprecision associated with quantifying of Quality Policy Deployment. The application of the model allowed to obtain a crisp Quality Policy Deployment Index incorporating imprecision and vagueness on these calculations through a fuzzy rule-based system.