RAZONAMIENTO APROXIMADO E INTELIGENCIA ARTIFICIAL
RAZONAMIENTO APROXIMADO E INTE
Universidade Federal do Rio Grande do Sul
Porto Alegre, BrasilPublikationen in Zusammenarbeit mit Forschern von Universidade Federal do Rio Grande do Sul (4)
2016
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Application of the fuzzy analytic hierarchy process in multi-criteria decision in noise action plans: Prioritizing road stretches
Environmental Modelling and Software, Vol. 81, pp. 45-55
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Improving business process retrieval using categorization and multimodal search
Knowledge-Based Systems, Vol. 110, pp. 49-59
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Selection of suitable alternatives to reduce the environmental impact of road traffic noise using a fuzzy multi-criteria decision model
Environmental Impact Assessment Review, Vol. 61, pp. 8-18
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Social choice functions: A tool for ranking variables involved in action plans against road noise
Journal of Environmental Management, Vol. 178, pp. 1-10