Book chapters

Book chapters since 2015:

  1. J. C. R. Alcantud and G. Santos García. Expanded hesitant fuzzy sets and group decision making. In: 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). See slides.
  2. J. C. R. Alcantud. Fuzzy soft set decision making algorithms: some clarifications and reinterpretations. In: Advances in Artificial Intelligence. 17th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2016. O. Luaces Rodríguez et al. (Eds.) Lecture Notes in Artificial Intelligence 9868, Springer-Verlag, 2016, pp.  479-488.
  3. J. C. R. Alcantud and G. Santos García. Incomplete Soft Sets: New Solutions for Decision Making Problems. In: Decision Economics, In commemoration of the birth Centennial of Herbert A. Simon 1916-2016 (Nobel Prize in Economics 1978). E. Bucciarelli, M. Silvestri, S. Rodríguez-González (Eds.) Advances in Intelligent Systems and Computing 475, Springer-Verlag, 2016, pp.  9-17.
  4. J. C. R. Alcantud, G. Santos García and E. Hernández Galilea. Glaucoma Diagnosis: A Soft Set Based Decision Making Procedure. In:  CAEPIA 2015. J. M. Puerta, J. A. Gámez, B. Dorronsoro, E. Barrenechea, A. Troncoso, B. Baruque and M. Galar (Eds.). Lecture Notes in Artificial Intelligence 9422, Springer-Verlag, 2015, pp. 49-60.
  5. R. de Andrés Calle, T. González Arteaga, J. C. R. Alcantud and M. Peral. A linguistic approach for self-perceived health state: A real study for diabetes disease. In:  CAEPIA 2015. J. M. Puerta, J. A. Gámez, B. Dorronsoro, E. Barrenechea, A. Troncoso, B. Baruque and M. Galar (Eds.). Lecture Notes in Artificial Intelligence 9422, Springer-Verlag, 2015, pp. 71-81.
  6. F. Fatimah, D. Rosadi, RB. F. Hakim and J. C. R. Alcantud. A social choice approach to graded soft sets. In: 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). See slides.
  7. J. L. García-Lapresta and R. González del Pozo. An ordinal multi-criteria decision-making procedure in the context of uniform qualitative scales. In: Soft Computing Applications for Group Decision-making and Consensus Modeling.  M. Collan and J. Kacprzyk (Eds.) Studies in Fuzziness and Soft Computing 357, Springer, 2018, pp. 297-304.
  8. J. L. García-Lapresta and D. Pérez-Román.Consensus-Based Clustering in Numerical Decision-Making. In: Soft methods for data science. M. B. Ferraro et al. (Eds). Advances in Intelligent Systems and Computing 456, Springer International Publishing Switzerland, 2017, pp 237-243.
  9. J. L. García-Lapresta and D. Pérez-Román. Consensus-based agglomerative hierarchical clustering. In: V. Torra, A. Dahlbom and Y. Narukawa (Eds.). Fuzzy Sets, Rough Sets, Multisets and Clustering. Studies in Computational Intelligence 671. Springer, 2017, pp. 123-135.
  10. M. Martínez-Panero, J. L. García-Lapresta and L. C. Meneses. Multidistances and Dispersion Measures. In: Fuzzy Logic and Information Fusion. T. Calvo and J. Torrens (Eds). Studies in Fuzziness and Soft Computing 339, Springer International Publishing Switzerland, 2016, pp. 123-134.
  11. T. Mathew, E. Sherly and J. C. R. Alcantud. An Adaptive Soft Set Based Diagnostic Risk Prediction System. In: Intelligent Systems Technologies and Applications. S. M. Thampi et al. (Eds). Advances in Intelligent Systems and Computing 683, Springer AG, 2018, pp. 149-162.