Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Creating Knowledge Based Organizations
Creating Knowledge Based Organizations
Introduction to modeling and generating probabilistic input processes for simulation
Proceedings of the 40th Conference on Winter Simulation
Generating artificial populations using a multi-level fuzzy inference engine
Proceedings of the 40th Conference on Winter Simulation
Goals description and application in migrating workflow system
Expert Systems with Applications: An International Journal
Complexity Management in Fuzzy Systems: A Rule Base Compression Approach
Complexity Management in Fuzzy Systems: A Rule Base Compression Approach
Large scale knowledge-based simulation models: an aproximation to the north-south remittances model
Winter Simulation Conference
A Multi-Objective Evolutionary Algorithm for enhancing Bayesian Networks hybrid-based modeling
Computers & Mathematics with Applications
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A computer system based on Monte-Carlo simulation and fuzzy logic has been designed, developed and tested to: (i) identify covariates that influence remittances received in a specific country and (ii) explain their behavior throughout the time span involved. The resulting remittance model was designed theoretically, identifying the variables which determined remittances and their dependence relationships, and then developed into a computer cluster. This model aims to be global and is useful for assessing the long term evolution of remittances in scenarios where a rich country is the host (United States of America) while a poor country is the where the migrant is from (El Salvador). By changing the socio-economic characteristics of the countries involved, experts can analyze new socio-economic frameworks to obtain useful conclusions for decision-making processes involving development and sustainability.