Construction of index with artificial intelligence to evaluate vulnerability to climate change in Andean tropical micro-watersheds: Study case in Colombia

espanolEste articulo construye y aplica un indice para estimar el nivel de vulnerabilidad al cambio climatico(ICC) en microcuencas andinas tropicales. El ICC fue construido con una combinacion de dos metodologias analiticas: indicadores presion-estado-respuesta (PER) y logica difusa de la inteligencia artificial. Se generaron: un indicador de presion, tres de estado y dos de respuesta. A cada indicador se le asocio una funcion de logica difusa. Para la operatividad del indice se generaron 234 reglas de decision, que fueron programadas en el programa MATLAB. El indice se aplico a la microcuenca andina tropical el Chocho ubicada en el Departamento del Valle del Cauca en Colombia. Con la aplicacion del indice ICC en esta microcuenca se evidencio el alto nivel de vulnerabilidad de esta microcuenca en la zona baja, media y alta. El ICCes un apoyo para la toma de decisiones por diferentes actores de la microcuenca. EnglishThis article constructs and applies an index to estimate vulnerability level to climate change (CCI) in tropical Andean micro-watersheds. The ICC was constructed with a combination of two analytical methodologies: Pressure-State-Response (PER) indicators and fuzzy logic from artificial intelligence. One pressure indicator, three statuses and two response indicators were defined. Each indicator is associated with a fuzzy logic function. For the operation of the index, 234 decision rules were generated, which were programmed in the MATLAB program. The index was applied to the tropical Andean microcuenca Chocho located in the Department of Valle del Cauca in Colombia. With the application of the ICC index in this micro-basin, the high level of vulnerability of this microwatershed was evidenced in the low,medium and high zone. The ICC is a support for the decision making by different actors of the micro-watershed.