International Conference on Intelligent Software Methodologies, Tools, and Techniques

SoMeT 2015: Intelligent Software Methodologies, Tools and Techniques pp 319-332 | Cite as

GDM-VieweR: A New Tool in R to Visualize the Evolution of Fuzzy Consensus Processes

  • Raquel Ureña
  • Francisco Javier Cabrerizo
  • Francisco Chiclana
  • Enrique Herrera-Viedma
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 532)

Abstract

With the incorporation of web 2.0 frameworks the complexity of decision making situations has exponentially increased, involving in many cases many experts, and a pontentially huge number of different alternatives. In the literature we can find a great deal of methodologies to assist multi-person decision making. However these classical approaches are not prepared to deal with huge complexity environments such as the Web 2.0, and there is a lack of tools that support the decision processes providing some graphical information. In this context is where data visualizations plays a key role. Therefore the main objective of this contribution is to present an open source tool developed in R to provide a quick insight of the evolution of the decision making by means of meaningful graphical representations. These tools allows its users to convey ideas effectively, providing insights into a rather sparse and complex data set by communicating its key-aspects in a more intuitive way and contributiong to the decision maker engangement in the process.

Keywords

Group decision making Fuzzy preference modeling Software development 

References

  1. 1.
    The comprehensive R archive network (2015). http://cran.r-project.org/. Accessed 20 February 2015
  2. 2.
    Adler, D., Murdoch, D., Nenadic, O., Urbanek, S., Chen, M., Gebhardt, A., Bolker, B., Csardi, G., Strzelecki, A., Senger, A.: RGL: 3d visualization device system (opengl) (2015). http://cran.r-project.org/web/packages/rgl/index.html. Accessed 20 February 2015
  3. 3.
    Alonso, S., Herrera-Viedma, E., Chiclana, F., Herrera, F.: A web based consensus support system for group decision making problems and incomplete preferences. Inf. Sci. 180(23), 4477–4495 (2010)MathSciNetCrossRefGoogle Scholar
  4. 4.
    Alonso, S., Pérez, I.J., Cabrerizo, F.J., Herrera-Viedma, E.: A linguistic consensus model for web 2.0 communities. Appl. Soft Comput. 13(1), 149–157 (2013)CrossRefGoogle Scholar
  5. 5.
    Butler, C.T., Rothstein, A.: On Conflict and Consensus: A Handbook on Formal Consensus Decision Making. Food Not Bombs Publishing, Takoma Park (2006)Google Scholar
  6. 6.
    Cabrerizo, F.J., Moreno, J.M., Pérez, I.J., Herrera-Viedma, E.: Analyzing consensus approaches in fuzzy group decision making: advantages and drawbacks. Soft. Comput. 14(5), 451–463 (2010)CrossRefGoogle Scholar
  7. 7.
    Cabrerizo, F.J., Ureña, R., Pedrycz, W., Herrera-Viedma, E.: Building consensus in group decision making with an allocation of information granularity. Fuzzy Sets Syst. 255, 115–127 (2014)CrossRefGoogle Scholar
  8. 8.
    Chiclana, F., Herrera-Viedma, E., Alonso, S., Herrera, F.: Cardinal consistency of reciprocal preference relations: a characterization on multiplicative transitivity. IEEE Trans. Fuzzy Syst. 17(1), 14–23 (2009)CrossRefGoogle Scholar
  9. 9.
    Fodor, J.C., Roubens, M.: Fuzzy Preference Modelling and Multicriteria Decision Support. Kluwer Academic Publishers, Dordrecht (1994)CrossRefGoogle Scholar
  10. 10.
    Gamma, E., Helm, R., Johnson, R., Vlissides, J.: Design Patterns: Elements of Reusable Object-oriented Software. Addison-Wesley Longman Publishing Co. Inc., Boston (1995)Google Scholar
  11. 11.
    Gower, J.C.: Some distance properties of latent root and vector methods used in multivariate analysis. Biometrika 53(3–4), 325–328 (1966)MathSciNetCrossRefGoogle Scholar
  12. 12.
    Herrera-Viedma, E., Alonso, S., Chiclana, F., Herrera, F.: A consensus model for group decision making with incomplete fuzzy preference relations. IEEE Trans. Fuzzy Syst. 15(5), 863–877 (2007)CrossRefGoogle Scholar
  13. 13.
    Herrera-Viedma, E., Cabrerizo, F.J., Kacprzyk, J., Pedrycz, W.: A review of soft consensus models in a fuzzy environment. Inf. Fusion 17, 4–13 (2014)CrossRefGoogle Scholar
  14. 14.
    Herrera-Viedma, E., Chiclana, F., Herrera, F., Alonso, S.: Group decision-making model with incomplete fuzzy preference relations based on additive consistency. IEEE Trans. Syst. Man Cybern. Part B Cybern. 37(1), 176–189 (2007)CrossRefGoogle Scholar
  15. 15.
    Kacprzyk, J.: Group decision making with a fuzzy linguistic majority. Fuzzy Sets Syst. 18, 105–118 (1986)MATHMathSciNetCrossRefGoogle Scholar
  16. 16.
    Ligges, U., Maechler, M., Schnackenberg, S.: Scatterplot3d: 3d scatter plot (2015). http://cran.r-project.org/web/packages/scatterplot3d/index.html. Accessed 20 February 2015
  17. 17.
    Orlovski, S.A.: Decision-making with fuzzy preference relations. Fuzzy Sets Syst. 1(3), 155–167 (1978)CrossRefGoogle Scholar
  18. 18.
    Palomares, I., Martínez, L.: A semisupervised multiagent system model to support consensus-reaching processes. IEEE Trans. Fuzzy Syst. 22(4), 762–777 (2014)CrossRefGoogle Scholar
  19. 19.
    Palomares, I., Martínez, L., Herrera, F.: MENTOR: a graphical monitoring tool of preferences evolution in large-scale group decision making. Knowl.-Based Syst. 58, 66–74 (2014)CrossRefGoogle Scholar
  20. 20.
    Pérez, I.J., Cabrerizo, F.J., Herrera-Viedma, E.: A mobile decision support system for dynamic group decision-making problems. IEEE Trans. Syst. Man Cybern. Part A Syst. Humans 40(6), 1244–1256 (2010)CrossRefGoogle Scholar
  21. 21.
    Pérez, I.J., Wikstram, R., Mezei, J., Carlsson, C., Herrera-Viedma, E.: A new consensus model for group decision making using fuzzy ontology. Soft. Comput. 17(9), 1617–1627 (2013)MATHCrossRefGoogle Scholar
  22. 22.
    Saaty, T.L.: Fundamentals of Decision Making and Priority Theory with the AHP. RWS Publications, Pittsburg (1994)Google Scholar
  23. 23.
    Deepayan Sarkar. Lattice: Lattice graphics (2015). http://cran.r-project.org/web/packages/lattice/index.html. Accessed 20 February 2015
  24. 24.
    Tanino, T.: Fuzzy preference orderings in group decision making. Fuzzy Sets Syst. 12(2), 117–131 (1984)MathSciNetCrossRefGoogle Scholar
  25. 25.
    Wu, J., Chiclana, F., Herrera-Viedma, E.: Trust based consensus model for social network in an incomplete linguistic information context. Appl. Soft Comput. (2015, in press)Google Scholar
  26. 26.
    Yager, R.R.: On ordered weighted averaging aggregation operators in multicriteria decision making. IEEE Trans. Syst. Man Cybern. 18(1), 183–190 (1988)MATHMathSciNetCrossRefGoogle Scholar
  27. 27.
    Yager, R.R., Filev, D.P.: Induced ordered weighted averaging operators. IEEE Trans. Syst. Man Cybern. Part B Cybern. 29(2), 141–150 (1999)CrossRefGoogle Scholar
  28. 28.
    Yager, R.R., Kacprzyk, J.: The Ordered Weighted Averaging Operators: Theory and Applications. Kluwer Academic, Boston (1997)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Raquel Ureña
    • 1
  • Francisco Javier Cabrerizo
    • 2
  • Francisco Chiclana
    • 3
  • Enrique Herrera-Viedma
    • 1
  1. 1.Department of Computer Science and A.IUniversity of GranadaGranadaSpain
  2. 2.Department of Software Engineering and Computer SystemsUniversidad Nacional de Educación a Distancia (UNED)MadridSpain
  3. 3.Centre for Computational Intelligence, Faculty of TechnologyDe Montfort UniversityLeicesterUK

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