| Resumen |
Nowadays efficient methods for air quality assessment are needed in order to detect negative problems in human health. A new computational model is developed in order to evaluate toxic compounds in air of urban areas that can be harmful in sensitive people, affecting their normal activities. Using the Gamma classifier (?), environmental variables are assessed determining their negative impact in air quality based on their toxicity limits, the average of the frequency and the deviations of toxic tests. A fuzzy inference system uses the environmental classifications providing an air quality index, which describes the pollution levels in five stages: excellent, good, regular, bad and danger respectively. |
