Libros/Capítulos de libros

2016

  • Billhardt, A. Fernández, M. Lujak, S. Ossowski, V. Julián, J.F. De Paz, J.Z. Hernández (2016): Towards Smart Open Dynamic Fleets. En M. Rovatsos et al. (eds.), Multi-agent Systems and Agreement Technologies. Lecture Notes in Artificial Intelligence, 9571, ISBN 978-3-319-33508-7, Springer, pp.410-424.
  • Lozano S., Hinojosa M.A., Mármol A.M., Borrero D.V. (2016): DEA and cooperative game theory, Hwang, S.N, Lee, H.S, Zhu, J. (eds.), Handbook of Operations Analytics using Data Envelopment Analysis, Springer, pp. 215-239.
  • Muñoz, A. Jiménez-Martín, A. Mateos (2016): An Ant Colony System Adaptation to Deal with Accessibility Issues after a Disaster. En M. Lubbecke et al. (eds.), Operations Research Proceedings 2014, ISBN 978-3-319-28695-2, Springer-Verlag, pp. 415-421.

2015

  • de Blasio, A. Moreno-Díaz, R. Moreno-Díaz (2015): Eulerian Numbers Weights in Distributed Computing Nets. En R. Moreno-Díaz, F. Pichler, F., A. Quesada-Arencibia (eds.), Computer Aided Systems Theory - EUROCAST 2015, ISBN: 978-3-319-27339-6, Springer, pp 88-94.
  • Moreno-Díaz, G. de Blasio, R. Moreno-Díaz (2015): A Class of 3D Distributed Modular Computing Nets. En R. Moreno-Díaz, F. Pichler, F., A. Quesada-Arencibia (eds.), Computer Aided Systems Theory - EUROCAST 2015, ISBN: 978-3-319-27339-6, Springer, pp 103-109.
  • Pérez-Sánchez, A. Jiménez, A. Mateos, A. Dvorzhak (2015): Fuzzy MCDA for Remediation of a Uranium Tailing. En B.J. Merkel, A. Arab (eds.), Uranium – Past and Future Challenges, ISBN 978-3-319-11058-5, Springer, pp. 113-122.
  • Sabio, A. Jiménez-Martín, A. Mateos (2015): Veto Values within MAUT for Group Decision Making on the basis of Dominance Measuring Methods with Fuzzy Weights. En B. Kamiński, G. Kersten, T. Szapiro (eds.), Outlooks and Insights on Group Decision and Negotiation, Lecture Notes in Business Information Processing 218, ISBN 978-3-319-19514-8, Springer, pp. 1-12.
  • Vicente, A. Mateos, A. Jiménez-Martín (2015): A Fuzzy Model for Selecting Safeguards to Reduce Risks in Information Systems. En E. Pinson, F. Valente, B. Vitoriano (eds.), Operations Research and Enterprise Systems, Communications in Computer and Information Science 509, ISBN 978-3-319-17508-9, Springer, pp. 63-78.

2014

  • I. Montes, E. Miranda, S. Montes (2014): Stochastic orders for fuzzy random variables. En P. Grzegorzewski et al. (eds), Strengthening Links between Data Analysis and Soft Computing, Advances in Intelligent Systems and Computing, 315, Springer, pp 21--28.
  • Vicente, A. Mateos, A. Jiménez (2014): Selection of Safeguards for Fuzzified Risk Management in Information Systems. En A. Rocha, A.M. Correira, F.B Tan, K.A. Stroetmann (eds.), New Perspectives in Information Systems and Technologies, Volume 1, Advances in Intelligent Systems and Computing 275, ISBN 978-3-319-05950-1, Springer, pp. 267-276.
  • Vicente, A. Mateos, A. Jiménez-Martín (2014): Searching for a Consensus Similarity Function for Generalized Trapezoidal Fuzzy Numbers. En R.M. de Moraes, E. E. Kerre, L. dos Santos Machado, J. Lu (eds.), Decision Making and Soft Computing, World Scientific, Proccedings Series on Computer Engineering and Information Science, 9, ISBN 978-981-4619-96-7, World Scientific Publishing, pp. 252-257.

2013

  • Moreno (2013): Control and Command Systems Concepts from Early Work on a Mars Rover. En EUROCAST 2013, Lecture Notes in Computer Science, 8111, pp. 126-133.
  • Vicente, A. Mateos, A. Jiménez (2013): A New Similarity Function for Generalized Trapezoidal Fuzzy Numbers. En L. Rutkowski, M. Korykowski, R. Scherer, R. Tadeusiewizc, L. Zadeh and J. Zurada (eds.), Artificial Intelligence and Soft Computing, Lecture Notes in Artificial Intelligence 7894, Springer Heidelberg, pp. 400-411.

2012

  • D. Martinetti, A. Lucadamo, S. Montes (2012): How to introduce fuzzy rationality measures and fuzzy revealed preferences into a discrete choice model. En: R. Kruse et al. (eds), Synergies of Soft Computing and Statistics for Intelligent Data Analysis, Advances in Intelligent Systems and Computing, 190, Springer, pp. 369--377.
  • Mateos, A. Jiménez, E.A. Aguayo, P. Sabio (2012): Preference Intensity in MCDM when and Additive Utility Function Represents DM Preferences. En C. Kahraman, E. E. Kerre and P. T. Bozbura (eds.), Uncertainty Modelling in Knowledge Engineering and Decision Making, World Scientific Proceeding Series on Computing Engineering and Information Systems, ISBN 978-981-4417-73-0, World Scientific Publishing, pp. 106-111.
  • Mateos, A. Jiménez, H.J. Pichardo (2012): Risk Assessment of the Spanish National Railway System. En C. Kahraman, E. E.  Kerre and P. T. Bozbura (eds.), Uncertainty Modelling in Knowledge Engineering and Decision Making, World Scientific Proceeding Series on Computing Engineering and Information Systems, ISBN 978-981-4417-73-0, World Scientific Publishing, pp. 1099-1104.