Book chapters and Books

Book chapters and books since 2015: A selection

  1. J. C. R. Alcantud (ed.) Fuzzy Techniques for Decision Making. MDPI, 2018.
    1. J. C. R. Alcantud (ed.) Fuzzy Techniques for Decision Making 2018. MDPI, 2020.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.

  • New publication in Mathematics

    The paper «Two new families of supra-soft topological spaces defined by separation axioms», by T. Al-shami, J. C. R. Alcantud, and A. A. Azzam, has been accepted for publication in Mathematics.The impact factor of this journal is 2.592 (Clarivate Analytics JCR, 2021). This is an Open Access article.


  • New publication in AIMS Mathematics

    The paper «New generalization of fuzzy soft sets: (a,b)-Fuzzy soft sets», by T. Al-shami, J. C. R. Alcantud, and A. Mhemdi, has been accepted for publication in AIMS Mathematics.The impact factor of this journal is 2.739 (Clarivate Analytics JCR, 2021). This is an Open Access article.


  • New publication in Artificial Intelligence in Medicine

    The paper «An integrated ELECTRE method for selection of rehabilitation center with m-polar fuzzy N-soft information», by and M. Akram, M. Sultan and J. C. R. Alcantud, has been accepted for publication in Artificial Intelligence in Medicine. The impact factor of this journal is 7.011 (Clarivate Analytics JCR, 2022).

    AIIM

  • New publication in Information Sciences

    The paper «A three-way decision approach with prospect-regret theory via fuzzy set pair dominance degrees for incomplete information systems«, by J. Zhan, W. Wang,  J. C. R. Alcantud and J. Zhan, has been accepted for publication in Information Sciences.The impact factor of this journal is 8.233 (Clarivate Analytics JCR, 2022).


  • New publication in Mathematical Biosciences and Engineering

    The paper «Extended fuzzy N-soft PROMETHEE method and its application in robot butler selection», by M. Akram, M. Sultan, J. C. R. Alcantud and M. M. Ali Al-Shamiri, has been accepted for publication in Mathematical Biosciences and Engineering. The impact factor of this journal is 2.194 (Clarivate Analytics JCR, 2022).