Book chapters and books since 2015: A selection

1. M. Akram, Shumaiza, and J. C. R. Alcantud. Multi-Criteria Decision Making Methods with Bipolar Fuzzy Sets. Springer, 2023.
2. J. C. R. Alcantud (ed.) Fuzzy Techniques for Decision Making. MDPI, 2018.
3. J. C. R. Alcantud (ed.) Fuzzy Techniques for Decision Making 2018. MDPI, 2020.
4. J. C. R. Alcantud and A. Giarlotta. The interplay between intergenerational justice and mathematical utility theory. In: Mathematical Topics on Representations of Ordered Structures and Utility Theory. Essays in Honor of Professor Ghanshyam B. Mehta. G. Bosi et al. (Eds.) Springer International Publishing, 2020, pp. 325-351.
5. J. C. R. Alcantud, M. J. Campión, J. C. Candeal, R. G. Catalán, and Esteban Induráin. On the structure of acyclic binary relations. In: Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications. IPMU 2018. Springer, Cham, 2018, pp. 3-15.
6. J. C. R. Alcantud and G. Santos García. Aggregation of Interval Valued Intuitionistic Fuzzy Sets Based on Transformation Techniques. In: 2023 IEEE International Conference on Fuzzy Systems (FUZZ). See slides.
7. 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.
8. J. C. R. Alcantud and G. Santos García.Transformation Techniques for Interval-Valued Intuitionistic Fuzzy Sets: Applications to Aggregation and Decision Making. In: EUSFLAT 2023/AGOP 2023, chap. 29. S. Massanet et al. (Eds.). LNCS 14069, Springer Nature, 2023, pp. 342–353. See slides.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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.
14. J. L. García-Lapresta and L.  Borge. Measuring dispersion in the context of ordered qualitative scales. In: E. Gil, E. Gil, J. Gil, M.A. Gil (Eds.). The Mathematics of the Uncertain. Studies in Systems, Decision and Control 142. Springer, pp. 605-614, 2018.
15. 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.
16. 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.
17. 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.
18. 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.
19. 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.