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Group Decision Making with Comparative Linguistic Terms

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Advances on Computational Intelligence (IPMU 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 297))

Abstract

In group decision making (GDM) framework, we focus on decision problems defined under uncertainty where decision makers can hesitate among several values to elicit their preferences. In such cases, the use of hesitant fuzzy linguistic term sets (HFLTS) can facilitate the elicitation of decision makers preferences. In this contribution, our aim is to propose a linguistic GDM model that allows to decision makers use single linguistic terms or comparative linguistic terms to express their preferences and obtain the solution set of alternatives of the GDM problem.

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References

  1. Bordogna, G., Pasi, G.: A fuzzy linguistic approach generalizing boolean information retrieval: A model and its evaluation. Journal of the American Society for Information Science 44, 70–82 (1993)

    Article  Google Scholar 

  2. Degani, R., Bortolan, G.: The problem of linguistic approximation in clinical decision making. Int. Journal of Approximate Reasoning 2, 143–162 (1988)

    Article  Google Scholar 

  3. Herrera, F., Herrera-Viedma, E.: Choice functions and mechanisms for linguistic preference relations. European J. of Operational Research 120(1), 144–161 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  4. Herrera, F., Herrera-Viedma, E., Verdegay, J.L.: A sequential selection process in group decision making with a linguistic assessment approach. Information Sciences 85(4), 223–239 (1995)

    Article  MATH  Google Scholar 

  5. Herrera, F., Martínez, L.: A 2-tuple fuzzy linguistic representation model for computing with words. IEEE Transactions on Fuzzy Systems 8(6), 746–752 (2000)

    Article  Google Scholar 

  6. Jiang, Y.: An approach to group decision making based on interval fuzzy preference relations. J. of Systems Science and Systems Engineering 16(1), 113–120 (2007)

    Article  Google Scholar 

  7. Kacprzyk, J.: Group decision making with a fuzzy linguistic majority. Fuzzy Sets and Systems 18, 105–118 (1986)

    Article  MathSciNet  MATH  Google Scholar 

  8. Klir, G.J., Yuan, B.: Fuzzy sets and fuzzy logic: Theory and Applications. Prentice-Hall PTR (1995)

    Google Scholar 

  9. Lawry, J.: A methodology for computing with words. International Journal of Approximate Reasoning 28, 51–89 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  10. Liu, J., Martínez, L., Wang, H., Rodríguez, R.M., Novozhilov, V.: Computing with words in risk assessment. International Journal of Computational Intelligence Systems 3(4), 396–419 (2010)

    Article  Google Scholar 

  11. Martínez, L., Ruan, D., Herrera, F.: Computing with words in decision support systems: An overview on models and applications. International Journal of Computational Intelligence Systems 3(4), 382–395 (2010)

    Article  Google Scholar 

  12. Rodríguez, R.M., Martínez, L., Herrera, F.: Hesitant fuzzy linguistic term sets for decision making. IEEE Transactions on Fuzzy Systems 20(1), 109–119 (2012)

    Article  Google Scholar 

  13. Roubens, M.: Fuzzy sets and decision analysis. Fuzzy Sets and Systems 90, 199–206 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  14. Torra, V.: Hesitant fuzzy sets. Int. J. of Intelligent Systems 25(6), 529–539 (2010)

    MATH  Google Scholar 

  15. Türkşen, I.B.: Type 2 representation and reasoning for CWW. Fuzzy Sets and Systems 127, 17–36 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  16. Yager, R.R.: An approach to ordinal decision making. International Journal of Approximate Reasoning 12(3-4), 237–261 (1995)

    Article  MathSciNet  MATH  Google Scholar 

  17. Yoon, K.: The propagation of errors in multiple-attribute decision analysis: a practical approach. Journal of the Operational Research Society 40, 681–686 (1989)

    Google Scholar 

  18. Zadeh, L.: The concept of a linguistic variable and its applications to approximate reasoning. Information Sciences, Part I, II, III (8,9), 199–249, 301–357, 43–80 (1975)

    Google Scholar 

  19. Zadeh, L.: Fuzzy logic = computing with words. IEEE Transactions on Fuzzy Systems 94(2), 103–111 (1996)

    Article  MathSciNet  Google Scholar 

  20. Zhang, T., Zhang, G., Ma, J., Lu, J.: Power distribution system planning evaluation by a fuzzy multi-criteria group decision support system. International Journal of Computational Intelligence Systems 3(4), 474–485 (2010)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Computer Science Department, University of Jaén, 23071, Jaén, Spain

    Rosa M. Rodríguez & Luis Martínez

  2. Computer Science and A.I. Department, University of Granada, 18071, Granada, Spain

    Francisco Herrera

Authors
  1. Rosa M. Rodríguez
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  2. Luis Martínez
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  3. Francisco Herrera
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Editor information

Editors and Affiliations

  1. Faculty of Economics, University of Catania, Corso Italia, 55, 95129, Catania, Italy

    Salvatore Greco  & Benedetto Matarazzo  & 

  2. Université Pierre et Marie Curie - Paris6, CNRS UMR 7606, DAPA, LIP6 8, rue du Capitaine Scott, F-75015, Paris, France

    Bernadette Bouchon-Meunier

  3. Dip. Matematica e Informatica, Università di Perugia, 06123, Perugia, Italy

    Giulianella Coletti

  4. Department of Computer and Management Science, University of Trento, Via Inama 5, 38122, Trento, Italy

    Mario Fedrizzi

  5. Machine Intelligence Institute, IONA College, 10801, New Rochelle, NY, USA

    Ronald R. Yager

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© 2012 Springer-Verlag Berlin Heidelberg

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Rodríguez, R.M., Martínez, L., Herrera, F. (2012). Group Decision Making with Comparative Linguistic Terms. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds) Advances on Computational Intelligence. IPMU 2012. Communications in Computer and Information Science, vol 297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31709-5_19

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  • DOI: https://doi.org/10.1007/978-3-642-31709-5_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31708-8

  • Online ISBN: 978-3-642-31709-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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