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Group decision-making procedure based on incomplete reciprocal relations

Published: 01 April 2008 Publication History

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.

References

[1]
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.
[2]
Bodily SE (1979) A delegation process for combining individual utility functions. Manage Sci 25:1035-1041.
[3]
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.
[4]
Chiclana F, Herrera F, Herrera-Viedma E (2001) Integrating multiplicative preference relations in amultipurpose decision-making model based on fuzzy preference relations. Fuzzy Sets Syst 122:277-291.
[5]
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.
[6]
De Baets B, DeMeyer H (2005) Transitivity frameworks for reciprocal relations: cycle-transitivity versus FG-transitivity. Fuzzy Sets Syst 152:249-270.
[7]
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.
[8]
Herrera F, Martinez L, Sanchez PJ (2005) Managing nonhomogeneous information in group decision making. Eur J Oper Res 166:115- 132.
[9]
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.
[10]
Horn RA, Johnson CR (1990) Matrix analysis. Cambridge University Press, Cambridge.
[11]
Kacprzyk J (1986) Group decision making with a fuzzy linguistic majority. Fuzzy Sets Syst 18:105-118.
[12]
Lipovetsky S, Michael Conklin M (2002) Robust estimation of priorities in the AHP. Eur J Oper Res 137:110-122.
[13]
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.
[14]
Nurmi H (1981) Approaches to collective decision making with fuzzy preference relations. Fuzzy Sets Syst 6:249-259.
[15]
Orlovski SA (1978) Decision-making with a fuzzy preference relation. Fuzzy Sets Syst 1:155-167.
[16]
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.
[17]
Roubens M (1989) Some properties of choice functions based on valued binary relations. Eur J Oper Res 40:309-321.
[18]
Tanino T (1984) Fuzzy preference orderings in group decision making. Fuzzy Sets Syst 12:117-131.
[19]
Xu ZS (2004) Goal programming models for obtaining the priority vector of incomplete fuzzy preference relation. Int J Approx Reason 36:261-270.
[20]
Xu ZS (2005) A procedure for decision making based on incomplete fuzzy preference relation. Fuzzy Optim Decis Making 4:175-189.
[21]
Xu ZS, Da QL (2002) The uncertain OWA operator. Int J Intell Syst 17:569-575.
[22]
Xu ZS, Da QL (2003) An approach to improving consistency of fuzzy preference matrix. Fuzzy Optim Decis Making 2:3-12.
[23]
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.

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Published In

cover image Soft Computing - A Fusion of Foundations, Methodologies and Applications
Soft Computing - A Fusion of Foundations, Methodologies and Applications  Volume 12, Issue 6
April 2008
92 pages
ISSN:1432-7643
EISSN:1433-7479
Issue’s Table of Contents

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 April 2008

Author Tags

  1. Additive transitivity
  2. Aggregation
  3. Auxiliary reciprocal relation
  4. Group decision making
  5. Incomplete reciprocal relation

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  • (2016)Group decision making based on incomplete multiplicative and fuzzy preference relationsApplied Soft Computing10.1016/j.asoc.2016.07.04648:C(735-744)Online publication date: 1-Nov-2016
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