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Docta Complutense author Espinilla, Macarena author Montero De Juan, Francisco Javier author Rodríguez González, Juan Tinguaro 2023-06-19T13:22:23Z 2023-06-19T13:22:23Z 2013-01 Espinilla, M., Montero, J., Rodríguez, J.T.: Computational intelligence in decision making: IJCIS. 7, 1 (2014). https://doi.org/10.1080/18756891.2014.853925 1875-6883 10.1080/18756891.2014.853925 https://hdl.handle.net/20.500.14352/33389 https//doi.org/10.1080/18756891.2014.853925 http://www.tandfonline.com/ In this preface we stress the relevance of the traditional collaboration between Engineering and any field of Mathematics in order to build intelligent decision-aid tools, as it is illustrated by the twelve papers contained in this Special Issue. These papers, selected by means of a standard peer review process after an open call, offer an interesting variety of models, approaches and techniques, to be applied within different specific problems. Each paper is introduced in this preface and is developed in the subsequent article. Moreover, in this preface we also claim for a more intense collaboration between decision engineers and other fields that study human brain behavior, like Neurology, Psychology, Sociology and Linguistics. Because if we really want to procure intelligent tools for decision aid, we should start by taking the human brain as our first reference, as it is the most efficient machinery we have found in order to deal with complex, uncertain, incomplete and even apparently inconsistent information. We hope that readers will enjoy this Special Issue devoted to Computational Intelligence in Decision Making. eng Computational intelligence in decision making journal article URL https://docta.ucm.es/bitstreams/7289cf86-522b-4da4-b03b-c73bd4136940/download File MD5 88deea7640e1a985d401b19a25a3e104 103261 application/pdf Montero153.pdf URL https://docta.ucm.es/bitstreams/e41acadf-1565-43b4-9cdd-7e2e771ead59/download File MD5 831a9b95b66233b6da28fff4631e1328 18987 text/plain Montero153.pdf.txt