Listar por tema "Fuzzy cognitive maps"
Mostrando ítems 1-5 de 5
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Application of fuzzy cognitive maps for cotton yield management in precision farming
(2009)The management of cotton yield behavior in agricultural areas is a very important task because it influences and specifies the cotton yield production. An efficient knowledge-based approach utilizing the method of fuzzy ... -
Fuzzy cognitive map based approach for predicting yield in cotton crop production as a basis for decision support system in precision agriculture application
(2011)This work investigates the process of yield prediction in cotton crop production using the soft computing technique of fuzzy cognitive maps. Fuzzy cognitive map (FCM) is a fusion of fuzzy logic and cognitive map theories, ... -
Introducing Fuzzy Cognitive Maps for decision making in precision agriculture
(2007)A Fuzzy Cognitive Maps (FCMs) is a modelling methodology based on exploiting knowledge and experience. It comprises the main advantages of fuzzy logic and neural networks, representing a graphical model that consists of ... -
Management of uncomplicated urinary tract infections using fuzzy cognitive maps
(2009)Urinary Tract Infection (UTI) is a bacterial infection that affects any part of the urinary tract. It can be classified as uncomplicated (patients with urinary tracts that are normal from both structural and functional ... -
Soft computing technique of fuzzy cognitive maps to connect yield defining parameters with yield in cotton crop production in central Greece as a basis for a decision support system for precision agriculture application
(2010)This work investigates the yield and yield variability prediction in cotton crop. Cotton crop management is a complex process with interacting parameters like soil, crop and weather factors. The soft computing technique ...