Skip to main content
Erschienen in: Soft Computing 10/2012

01.10.2012 | Original Paper

Modelling experts’ attitudes in group decision making

verfasst von: I. Palomares, J. Liu, Y. Xu, L. Martínez

Erschienen in: Soft Computing | Ausgabe 10/2012

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Nowadays, important decisions that have a significant impact either in societies or in organizations are commonly made by a group rather than a single decision maker, which might require more than a majority rule to obtain a real acceptance. Consensus-reaching processes provide a way to drive group decisions which are more accepted and appreciated by people affected by such a decision. These processes care about different consensus measures to determine the agreement in the group. The correct choice of a consensus measure that reflects the attitude of decision makers is a key issue for improving and optimizing consensus-reaching processes, which still requires further research. This paper studies the concept of group’s attitude towards consensus, and presents a consensus model that integrates it in the measurement of consensus, through an extension of OWA aggregation operators, the so-called Attitude-OWA. The approach is applied to the solution of a real-like group decision making problem with the definition of different attitudes, and the results are analysed.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
Zurück zum Zitat Beliakov G, Pradera A, Calvo T (2007) Aggregation functions: a guide for practitioners. Springer, Heidelberg Beliakov G, Pradera A, Calvo T (2007) Aggregation functions: a guide for practitioners. Springer, Heidelberg
Zurück zum Zitat Bryson N (1996) Group decision-making and the analytic hierarchy process. Exploring the consensus-relevant information content. Comput Oper Res 23(1):27–35MATHCrossRef Bryson N (1996) Group decision-making and the analytic hierarchy process. Exploring the consensus-relevant information content. Comput Oper Res 23(1):27–35MATHCrossRef
Zurück zum Zitat Butler C, Rothstein A (2006) On conflict and consensus: a handbook on formal consensus decision making. Food Not Bombs Publishing, Takoma Park Butler C, Rothstein A (2006) On conflict and consensus: a handbook on formal consensus decision making. Food Not Bombs Publishing, Takoma Park
Zurück zum Zitat Fedrizzi M, Fedrizzi M, Marques R (1999) Soft consensus and network dynamics in group decision making. Int J Intell Syst 14(1):63–77MATHCrossRef Fedrizzi M, Fedrizzi M, Marques R (1999) Soft consensus and network dynamics in group decision making. Int J Intell Syst 14(1):63–77MATHCrossRef
Zurück zum Zitat Grabisch M, Orlovski S, Yager R (1998) Fuzzy Aggregation of numerical preferences. In: Fuzzy sets in decision analysis: operations, research and statistics. Kluwer, Boston, pp 31–68 Grabisch M, Orlovski S, Yager R (1998) Fuzzy Aggregation of numerical preferences. In: Fuzzy sets in decision analysis: operations, research and statistics. Kluwer, Boston, pp 31–68
Zurück zum Zitat Herrera F, Herrera-Viedma E, Verdegay J (1995) A sequential selection process in group decision making with linguistic assessments. Inf Sci 85(1995):223–239MATHCrossRef Herrera F, Herrera-Viedma E, Verdegay J (1995) A sequential selection process in group decision making with linguistic assessments. Inf Sci 85(1995):223–239MATHCrossRef
Zurück zum Zitat Herrera F, Herrera-Viedma E, Verdegay J (1996) A model of consensus in group decision making under linguistic assessments. Fuzzy Sets Syst 78(1):73–87MathSciNetCrossRef Herrera F, Herrera-Viedma E, Verdegay J (1996) A model of consensus in group decision making under linguistic assessments. Fuzzy Sets Syst 78(1):73–87MathSciNetCrossRef
Zurück zum Zitat Herrera-Viedma E, Herrera F, Chiclana F (2002) A consensus model for multiperson decision making with different preference structures. IEEE Trans Syst Man Cybern A Syst Hum 32(3):394–402CrossRef Herrera-Viedma E, Herrera F, Chiclana F (2002) A consensus model for multiperson decision making with different preference structures. IEEE Trans Syst Man Cybern A Syst Hum 32(3):394–402CrossRef
Zurück zum Zitat Herrera-Viedma E, Martínez L, Mata F, Chiclana F (2005) A consensus support system model for group decision making problems with multigranular linguistic preference relations. IEEE Trans Fuzzy Syst 13(5):644–658CrossRef Herrera-Viedma E, Martínez L, Mata F, Chiclana F (2005) A consensus support system model for group decision making problems with multigranular linguistic preference relations. IEEE Trans Fuzzy Syst 13(5):644–658CrossRef
Zurück zum Zitat Herrera-Viedma E, Alonso S, Chiclana F, Herrera F (2007a) A consensus model for group decision making with incomplete fuzzy preference relations. IEEE Trans Fuzzy Syst 15(5):863–877CrossRef Herrera-Viedma E, Alonso S, Chiclana F, Herrera F (2007a) A consensus model for group decision making with incomplete fuzzy preference relations. IEEE Trans Fuzzy Syst 15(5):863–877CrossRef
Zurück zum Zitat Herrera-Viedma E, Chiclana F, Herrera F, Alonso S (2007b) Group decision-making model with incomplete fuzzy preference relations based on additive consistency. IEEE Trans Syst Man Cybern B Cybern 37(1):176–189CrossRef Herrera-Viedma E, Chiclana F, Herrera F, Alonso S (2007b) Group decision-making model with incomplete fuzzy preference relations based on additive consistency. IEEE Trans Syst Man Cybern B Cybern 37(1):176–189CrossRef
Zurück zum Zitat Herrera-Viedma E, García-Lapresta J, Kacprzyk J, Fedrizzi M, Nurmi H, Zadrozny S (eds) (2011) Consensual processes. Studies in fuzziness and soft computing, vol 267. Springer, Berlin Herrera-Viedma E, García-Lapresta J, Kacprzyk J, Fedrizzi M, Nurmi H, Zadrozny S (eds) (2011) Consensual processes. Studies in fuzziness and soft computing, vol 267. Springer, Berlin
Zurück zum Zitat Kacprzyk J, Fedrizzi M (1988) A “soft” measure of consensus in the setting of partial (fuzzy) preferences. Eur J Oper Res 34(1):316–325MathSciNetCrossRef Kacprzyk J, Fedrizzi M (1988) A “soft” measure of consensus in the setting of partial (fuzzy) preferences. Eur J Oper Res 34(1):316–325MathSciNetCrossRef
Zurück zum Zitat Kacprzyk J, Fedrizzi M (1989) A ’human-consistent’ degree of consensus based on fuzzy logic with linguistic quantifiers. Math Soc Sci 18 (3):275–290MathSciNetMATHCrossRef Kacprzyk J, Fedrizzi M (1989) A ’human-consistent’ degree of consensus based on fuzzy logic with linguistic quantifiers. Math Soc Sci 18 (3):275–290MathSciNetMATHCrossRef
Zurück zum Zitat Kacprzyk J, Zadrozny S (2010) Soft computing and web intelligence for supporting consensus reaching. Soft Comput 14(8):833–846CrossRef Kacprzyk J, Zadrozny S (2010) Soft computing and web intelligence for supporting consensus reaching. Soft Comput 14(8):833–846CrossRef
Zurück zum Zitat Klir G, Yuan B (1995) Fuzzy sets and fuzzy logic: theory and applications. Prentice Hall, Upper Saddle River Klir G, Yuan B (1995) Fuzzy sets and fuzzy logic: theory and applications. Prentice Hall, Upper Saddle River
Zurück zum Zitat Kuncheva L, Krishnapuram R (1995) A fuzzy consensus aggregation operator. Fuzzy Sets Syst 79 (3)(3):347–356MathSciNet Kuncheva L, Krishnapuram R (1995) A fuzzy consensus aggregation operator. Fuzzy Sets Syst 79 (3)(3):347–356MathSciNet
Zurück zum Zitat Liu X, Han S (2008) Orness and parameterized RIM quantifier aggregation with OWA operators: a summary. Int J Approx Reason 48:77–97MathSciNetMATHCrossRef Liu X, Han S (2008) Orness and parameterized RIM quantifier aggregation with OWA operators: a summary. Int J Approx Reason 48:77–97MathSciNetMATHCrossRef
Zurück zum Zitat Martínez L, Montero J (2007) Challenges for improving consensus reaching process in collective decisions. New Math Nat Comput 3(2):203–217MATHCrossRef Martínez L, Montero J (2007) Challenges for improving consensus reaching process in collective decisions. New Math Nat Comput 3(2):203–217MATHCrossRef
Zurück zum Zitat Mata F, Martínez L, Herrera-Viedma E (2009) An adaptive consensus support model for group decision-making problems in a multigranular fuzzy linguistic context. IEEE Trans Fuzzy Syst 17(2):279–290CrossRef Mata F, Martínez L, Herrera-Viedma E (2009) An adaptive consensus support model for group decision-making problems in a multigranular fuzzy linguistic context. IEEE Trans Fuzzy Syst 17(2):279–290CrossRef
Zurück zum Zitat Parreiras R, Ekel P, Martini J, Palhares R (2010) A flexible consensus scheme for multicriteria group decision making under linguistic assessments. Inf Sci 180(7):1075–1089CrossRef Parreiras R, Ekel P, Martini J, Palhares R (2010) A flexible consensus scheme for multicriteria group decision making under linguistic assessments. Inf Sci 180(7):1075–1089CrossRef
Zurück zum Zitat Pedrycz W, Ekel P, Parreiras R (2011) Fuzzy multicriteria decision-making: models, methods and applications. Wiley, New York Pedrycz W, Ekel P, Parreiras R (2011) Fuzzy multicriteria decision-making: models, methods and applications. Wiley, New York
Zurück zum Zitat Reformat M, Yager R, Li Z, Alajlan N (2011) Human-inspired identification of high-level concepts using OWA and linguistic quantifiers. Int J Comput Commun Control 6(3):473–502 Reformat M, Yager R, Li Z, Alajlan N (2011) Human-inspired identification of high-level concepts using OWA and linguistic quantifiers. Int J Comput Commun Control 6(3):473–502
Zurück zum Zitat Saint S, Lawson JR (1994) Rules for reaching consensus. A modern approach to decision making. Jossey-Bass, San Francisco Saint S, Lawson JR (1994) Rules for reaching consensus. A modern approach to decision making. Jossey-Bass, San Francisco
Zurück zum Zitat Shannon C, Weaver W (1949) The mathematical theory of communication. University of Illinois Press, UrbanaMATH Shannon C, Weaver W (1949) The mathematical theory of communication. University of Illinois Press, UrbanaMATH
Zurück zum Zitat Tocqueville A (1840) Democracy in America, 2nd edn. Saunders and Otleym, London Tocqueville A (1840) Democracy in America, 2nd edn. Saunders and Otleym, London
Zurück zum Zitat Xu J, Wu Z (2011) A discrete consensus support model for multiple attribute group decision making. Knowl Based Syst 24(8):1196–1202CrossRef Xu J, Wu Z (2011) A discrete consensus support model for multiple attribute group decision making. Knowl Based Syst 24(8):1196–1202CrossRef
Zurück zum Zitat Yager R (1988) On orderer weighted averaging aggregation operators in multi-criteria decision making. IEEE Trans Syst Man Cybern 18(1):183–190MathSciNetMATHCrossRef Yager R (1988) On orderer weighted averaging aggregation operators in multi-criteria decision making. IEEE Trans Syst Man Cybern 18(1):183–190MathSciNetMATHCrossRef
Zurück zum Zitat Yager R (1996) Quantifier guided aggregation using OWA operators. Int J Intell Syst 11:49–73CrossRef Yager R (1996) Quantifier guided aggregation using OWA operators. Int J Intell Syst 11:49–73CrossRef
Zurück zum Zitat Yager R (2001) Penalizing strategic preference manipulation in multi-agent decision making. IEEE Trans Fuzzy Syst 9(3):393–403CrossRef Yager R (2001) Penalizing strategic preference manipulation in multi-agent decision making. IEEE Trans Fuzzy Syst 9(3):393–403CrossRef
Zurück zum Zitat Yager R, Filev D (1994) Essentials of fuzzy modeling and control. Wiley, New York Yager R, Filev D (1994) Essentials of fuzzy modeling and control. Wiley, New York
Zurück zum Zitat Zadrozny S, Kacprzyk J (2003) An Internet-based group decision and consensus reaching support system. In: Applied decision support with soft computing (studies in fuzziness and soft computing), vol 124. Springer, Berlin, pp 263–275 Zadrozny S, Kacprzyk J (2003) An Internet-based group decision and consensus reaching support system. In: Applied decision support with soft computing (studies in fuzziness and soft computing), vol 124. Springer, Berlin, pp 263–275
Metadaten
Titel
Modelling experts’ attitudes in group decision making
verfasst von
I. Palomares
J. Liu
Y. Xu
L. Martínez
Publikationsdatum
01.10.2012
Verlag
Springer-Verlag
Erschienen in
Soft Computing / Ausgabe 10/2012
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-012-0859-8

Weitere Artikel der Ausgabe 10/2012

Soft Computing 10/2012 Zur Ausgabe

Premium Partner