Conclusions and Future Directions of Research

  • Iván Palomares Carrascosa
Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)


This chapter concludes the book by summarizing the main conclusions derived from the LGDM research advances and pending challenges to date. Some proposed directions for future research in this topic are finally highlighted.


  1. 104.
    Palomares, I., Martinez, L.: A semisupervised multiagent system model to support consensus-reaching processes. IEEE Transactions on Fuzzy Systems, 22(4), pp. 762–777, 2014.CrossRefGoogle Scholar
  2. 105.
    Palomares, I., Martínez, L., Herrera, F.: A consensus model to detect and manage non-cooperative behaviors in large-scale group decision making. IEEE Transactions on Fuzzy Systems, 22(3), pp. 516–530, 2014.CrossRefGoogle Scholar
  3. 107.
    Palomares, I., Martínez, L., Herrera, F.: MENTOR: A graphical monitoring tool of preferences evolution in large-scale group decision making. Knowledge-based Systems, 58 (Spec.Iss.), pp. 66–74, 2014.CrossRefGoogle Scholar
  4. 130.
    Shi, Z.J., Wang, X.Q., Palomares, I., Guo, S.J., Ding, R.X.: A novel consensus model for multi-attribute large-scale group decision making based on comprehensive behavior Classification and adaptive weight updating. Knowledge-based Systems, In Press. CrossRefGoogle Scholar
  5. 192.
    Zhang, H., Palomares, I., Dong, Y., Wang, W.: Managing non-cooperative behaviors in consensus-based multiple attribute group decision making: An approach based on social network analysis. Knowledge-based Systems, In press. CrossRefGoogle Scholar

Copyright information

© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Iván Palomares Carrascosa
    • 1
  1. 1.School of Computer Science (SCEEM)University of BristolBristolUK

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