Skip to main content
Log in

Group decision-making procedure based on incomplete reciprocal relations

  • Original Paper
  • Published:
Soft Computing Aims and scope Submit manuscript

Abstract

Xu (Int J Approx Reason 36:261–270, 2004) introduced the concepts of incomplete reciprocal relation and additive consistent incomplete reciprocal relation. The aim of this paper is to develop a novel procedure for group decision making with incomplete reciprocal relations. The procedure utilizes each given incomplete reciprocal relation to construct an auxiliary reciprocal relation based on additive transitivity, and then aggregates directly these auxiliary reciprocal relations into a collective auxiliary reciprocal relation. After that, based on the collective auxiliary reciprocal relation, a simple linear system of equations is established for ranking alternatives. Finally, a numerical example is given to illustrate the developed procedure.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Alonso S, Chiclana F, Herrera F, Herrera-Viedma E (2004) A procedure for learning missing values in fuzzy preference relations based on additive consistency. Lecture Notes in Artif Intell 3131:227–238

    Google Scholar 

  • Bodily SE (1979) A delegation process for combining individual utility functions. Manage Sci 25:1035–1041

    Article  MATH  MathSciNet  Google Scholar 

  • Chiclana F, Herrera F, Herrera-Viedma E (1998) Integrating three representation models in fuzzy multipurpose decision making based on fuzzy preference relations. Fuzzy Sets Syst 97:33–48

    Article  MATH  MathSciNet  Google Scholar 

  • Chiclana F, Herrera F, Herrera-Viedma E (2001) Integrating multiplicative preference relations in a multipurpose decision-making model based on fuzzy preference relations. Fuzzy Sets Syst 122:277–291

    Article  MATH  MathSciNet  Google Scholar 

  • Chiclana F, Herrera F, Herrera-Viedma E, Martinez L (2003) A note on the reciprocity in the aggregation of fuzzy preference relations using OWA operators. Fuzzy Sets Syst 137:71–83

    Article  MATH  MathSciNet  Google Scholar 

  • De Baets B, De Meyer H (2005) Transitivity frameworks for reciprocal relations: cycle-transitivity versus FG-transitivity. Fuzzy Sets Syst 152:249–270

    Article  MATH  MathSciNet  Google Scholar 

  • De Baets B, De Meyer H, De Schuymer B, Jenei S (2006) Cyclic evaluation of transitivity of reciprocal relations. Soc Choice Welfare 26:217–238

    Article  MATH  MathSciNet  Google Scholar 

  • Herrera F, Martinez L, Sanchez PJ (2005) Managing non-homogeneous information in group decision making. Eur J Oper Res 166:115–132

    Article  MATH  Google Scholar 

  • Herrera-Viedma E, Herrera F, Chiclana F, Luque M (2004) Some issues on consistency of fuzzy preference relations. Eur J Oper Res 154:98–109

    Article  MATH  MathSciNet  Google Scholar 

  • Horn RA, Johnson CR (1990) Matrix analysis. Cambridge University Press, Cambridge

    MATH  Google Scholar 

  • Kacprzyk J (1986) Group decision making with a fuzzy linguistic majority. Fuzzy Sets Syst 18:105–118

    Article  MATH  MathSciNet  Google Scholar 

  • Lipovetsky S, Michael Conklin M (2002) Robust estimation of priorities in the AHP. Eur J Oper Res 137:110–122

    Article  MATH  Google Scholar 

  • Ma J, Fan ZP, Jiang YP, Mao JY, Ma L (2006) A method for repairing the inconsistency of fuzzy preference relations. Fuzzy Sets Syst 157:20–33

    Article  MATH  MathSciNet  Google Scholar 

  • Nurmi H (1981) Approaches to collective decision making with fuzzy preference relations. Fuzzy Sets Syst 6:249–259

    Article  MATH  MathSciNet  Google Scholar 

  • Orlovski SA (1978) Decision-making with a fuzzy preference relation. Fuzzy Sets Syst 1:155–167

    Article  Google Scholar 

  • Ramanathan R, Ganesh LS (1994) Group preference aggregation methods employed in AHP: an evaluation and an intrinsic process for deriving members’ weightages. Eur J Oper Res 79:249–265

    Article  MATH  Google Scholar 

  • Roubens M (1989) Some properties of choice functions based on valued binary relations. Eur J Oper Res 40:309–321

    Article  MATH  MathSciNet  Google Scholar 

  • Tanino T (1984) Fuzzy preference orderings in group decision making. Fuzzy Sets Syst 12:117–131

    Article  MATH  MathSciNet  Google Scholar 

  • Xu ZS (2004) Goal programming models for obtaining the priority vector of incomplete fuzzy preference relation. Int J Approx Reason 36:261–270

    Article  MATH  Google Scholar 

  • Xu ZS (2005) A procedure for decision making based on incomplete fuzzy preference relation. Fuzzy Optim Decis Making 4:175–189

    Article  MATH  Google Scholar 

  • Xu ZS, Da QL (2002) The uncertain OWA operator. Int J Intell Syst 17:569–575

    Article  MATH  Google Scholar 

  • Xu ZS, Da QL (2003) An approach to improving consistency of fuzzy preference matrix. Fuzzy Optim Decis Making 2:3–12

    Article  MathSciNet  Google Scholar 

  • Xu ZS, Da QL (2005) A least deviation method to obtain a priority vector of a fuzzy preference relation. Eur J Oper Res 164:206–216

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zeshui Xu.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Xu, Z., Chen, J. Group decision-making procedure based on incomplete reciprocal relations. Soft Comput 12, 515–521 (2008). https://doi.org/10.1007/s00500-007-0223-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00500-007-0223-6

Keywords

Navigation