Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
SMT-Based Parameter Synthesis for Parametric Timed Automata Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

A Consensus Reaching Support System for Multi-criteria Decision Making Problems

verfasst von : Dominika Gołuńska, Janusz Kacprzyk

Erschienen in: Challenging Problems and Solutions in Intelligent Systems

Verlag: Springer International Publishing

Einloggen

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

search-config
loading …

Abstract

We present an extension of a consensus reaching support system presented in our previous works to additionally accommodate a multi-criteria evaluation of options and importance weights of all criteria given by each agent (individual). The multi-criteria setting implies a need for some modification of concepts, tools and techniques proposed in our previous works with a single criterion. To improve the efficiency of the process we use some additional suggestions/hints provided for the moderator in the form of linguistic summaries, modified to the multi-criteria setting. We present an application for a real world problem which involves reaching of a sufficient agreement in the small group of human agents. The results obtained are intuitively appealing, and promising in terms of time and costs of opinion changes to reach a sufficient consensus.

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!

Jetzt informieren

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!

Jetzt informieren

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!

Jetzt informieren
Vorheriges Kapitel A Hybrid Approach to Parallelization of Monte Carlo Tree Search in General Game Playing
Nächstes Kapitel Improving Spatial Estimates of Greenhouse Gas Emissions at a Fine Resolution: A Review of Approaches
Literatur
1.
Butle, C.T., Rothstein, A.: On Conflict and Consensus: A Handbook on Formal Consensus Decision Making. Food Not Bombs Publishing, Takoma Park (2006)
2.
Carlsson, C., Fedrizzi, M., Fuller, R.: Group decision support systems. In: Carlsson, C., Fedrizzi, M., Fuller, R. (eds.) Fuzzy Logic in Management, pp. 57–125. Springer Science, Berlin (2004)
3.
Fedrizzi, M., Kacprzyk, J., Zadrożny, S.: An interactive multi-user decision support system for consensus reaching process using fuzzy logic with linguistic quantifiers. Decis. Support Syst. 4(3), 313–327 (1988)CrossRefMATH
4.
Fedrizzi, M., Fedrizzi, M., Marques Pereira, R.A.: Consensus modelling in group decision making: a dynamical approach based on Zadeh’s fuzzy preferences. In: Seising, R., Trillas, E., Moraga, C., Termini, S. (eds.) On Fuzziness (Homage to Lotfi A. Zadeh), pp. 165–170. Springer, Heidelberg (2013)CrossRef
5.
Gołuńska, D., Hołda, M.: The need of fairness in the group consensus reaching process in a fuzzy environment. Tech. Trans. Autom. Control 1–AC, 29–38 (2013)
6.
Gołuńska, D., Kacprzyk, J.: The conceptual framework of fairness in consensus reaching process under fuzziness. In: Proceedings of the 2013 Joint IFSA World Congress NAFIPS Annual Meeting, pp. 1285–1290. Edmonton, Canada, 24–28 June 2013
7.
Gołuńska, D., Kacprzyk, J., Zadrożny, S.: A consensus reaching support system based on concepts of ideal and anti-ideal point. In: Proceedings of the 2014 North American Fuzzy Information Processing Society Conference (NAFIPS 2014), pp. 1–6 (2014)
8.
Gołuńska, D., Kacprzyk, J., Zadrożny, S.: A model of efficiency-oriented group decision and consensus reaching support system in a fuzzy environment. In: Proceedings of the 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU-2014, pp. 424–433 (2014)
9.
Gołuńska, D., Kacprzyk, J., Zadrożny, S.: On efficiency-oriented support of consensus reaching in a group of agents in a fuzzy environment with a cost based preference updating approach. In: Proceedings of SSCI-2014. IEEE Press, Orlando (2014)
10.
Gołuńska, D., Kacprzyk, J., Herrera-Viedma, E.: Modeling different advising attitudes in a consensus focused process of group decision making. In: Filev, D., et al. (ed.) Intelligent Systems’2014, Series: Advances in Intelligent Systems and Computing, vol. 322, pp. 279–288. Springer, Berlin (2015)
11.
Herrera, F., Herrera-Viedma, E., Verdegay, J.L.: A rational consensus model in group decision making using linguistic assessments. Fuzzy Sets Syst. 88(1), 31–49 (1997)MathSciNetCrossRefMATH
12.
Herrera-Viedma, E., García-Lapresta, J.L., Kacprzyk, J., Fedrizzi, M., Nurmi, H., Zadrożny, S. (eds.): Studies in fuzziness and soft computing. Consensual Processes. Springer, Berlin (2011)
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)CrossRef
14.
Kacprzyk, J.: Group decision making with a fuzzy majority via linguistic quantifiers. Part I: a consensory like pooling. Cybern. Syst. Int. J. 16, 119–129. Part II: a competitive like pooling. Cybern. Syst. Int. J. 16, 131–144 (1985)
15.
16.
Kacprzyk, J., Fedrizzi, M.: ‘Soft’ consensus measures for monitoring real consensus reaching processes under fuzzy preferences. Control Cybern. 15(3–4), 309–323 (1986)MathSciNetMATH
17.
Kacprzyk, J., Fedrizzi, M.: A ‘soft’ measure of consensus in the setting of partial (fuzzy) preferences. Eur. J. Oper. Res. 34, 315–325 (1988)MathSciNetCrossRef
18.
Kacprzyk, J., Fedrizzi, M.: A ‘human-consistent’ degree of consensus based on fuzzy logic with linguistic quantifiers. Math. Soc. Sci. 18, 275–290 (1989)MathSciNetCrossRefMATH
19.
20.
Kacprzyk, J., Zadrożny, S.: On the use of fuzzy majority for supporting consensus reaching under fuzziness. In: Proceedings of FUZZ-IEEE’97 - Sixth IEEE International Conference on Fuzzy Systems (Barcelona, Spain), vol. 3, pp. 1683–1988 (1997)
21.
Kacprzyk, J., Zadrożny, S.: An internet-based group decision and consensus reaching support system. Management 7(28), 4–10 (2003)
22.
Kacprzyk, J., Zadrożny, S.: Supporting consensus reaching in a group via fuzzy linguistic data summaries. In: IFSA’2005 World Congress - Fuzzy Logic, Soft Computing and Computational Intelligence, pp. 1746–1751. Tsinghua University Press/Springer, Beijing (2005)
23.
Kacprzyk, J., Zadrożny, S.: On a concept of a consensus reaching process support system based on the use of soft computing and Web techniques. In: Ruan, D., Montero, J., Lu, J., Martínez, L., D’hondt, P., Kerre, E.E. (eds.) Computational Intelligence in Decision and Control, pp. 859–864. World Scientific, Singapore (2008)
24.
Kacprzyk, J., Zadrożny, S.: Towards a general and unified characterization of individual and collective choice functions under fuzzy and nonfuzzy preferences and majority via the ordered weighted average operators. Int. J. Intell. Syst. 24(1), 4–26 (2009)CrossRefMATH
25.
Kacprzyk, J., Zadrożny, S.: Soft computing and Web intelligence for supporting consensus reaching. Soft Comput. 14(8), 833–846 (2010)CrossRef
26.
Kacprzyk, J., Zadrożny, S.: Supporting consensus reaching processes under fuzzy preferences and a fuzzy majority via linguistic summaries. In: Greco, S., Marques Pereira, R.A., Squillante, M., Yager, R.R. (eds.) Preferences and Decisions, vol. 257, pp. 261–279 (2010)
27.
Kacprzyk, J., Zadrożny, S.: Computing with words is an implementable paradigm: fuzzy queries, linguistic data summaries and natural language generation. IEEE Trans. Fuzzy Syst. 18(3), 461–472 (2010)CrossRef
28.
Kacprzyk, J., Yager, R.R., Zadrożny, S.: A fuzzy logic based approach to linguistic summaries of databases. Int. J. Appl. Math. Comput. Sci. 10, 813–834 (2000)MATH
29.
Kacprzyk, J., Zadrożny, S., Wilbik, A.: Linguistic summarization of some static and dynamic features of consensus reaching. In: Reusch, B. (ed.) Computational Intelligence, Theory and Applications, pp. 19–28. Springer, Berlin (2006)CrossRef
30.
Kacprzyk, J., Zadrożny, S., Fedrizzi, M., Nurmi, H.: On group decision making, consensus reaching, voting and voting paradoxes under fuzzy preferences and a fuzzy majority: a survey and some perspectives. In: Bustince, H., Herrera, F., Montero, J. (eds.) Fuzzy Sets and Their Extensions: Representations, Aggregation and Models, pp. 263–295. Springer, Berlin (2008)CrossRef
31.
Kacprzyk, J., Zadrożny, S., Raś, Z.W.: How to support consensus reaching using action rules: a novel approach. Int. J. Uncertain. Fuzziness Knowl.-Based Syst. 18(4), 451–470 (2010)MathSciNetCrossRef
32.
Loewer, B.: Special issue on consensus. Synthese 62, 1–122
33.
Loewer, B., Laddaga, R.: Destroying the consensus. Synthese 62, 79–96 (1985)CrossRef
34.
Perez, I.J., Wikström, R., Mezei, J., Carlsson, C., Anaya, K., Herrera-Viedma, E.: Linguistic consensus models based on a fuzzy ontology. Procedia Comput. Sci. 17, 498–505 (2013)CrossRef
35.
Spillman, B., Spillman, R., Bezdek, J.C.: A fuzzy analysis of consensus in small groups. In: Wang, P.P., Chang, S.K. (eds.) Fuzzy Automata and Decision Processes, pp. 331–356. North-Holland, Amsterdam (1980)
36.
Szmidt, E., Kacprzyk, J.: A consensus-reaching process under intuitionistic fuzzy preference relations. Int. J. Intell. Syst. 18(7), 837–852 (2003)CrossRefMATH
37.
Turban, E., Aronson, J.E., Liang, T.P.: Decision Support Systems and Intelligent Systems, 6th edn. Prentice Hall, Upper Saddle River (2005)
38.
Van de Walle, B., De Baets, B., Kerre, E.: A plea for the use of Lukasiewicz triplets in fuzzy preference structures. Part 1: general argumentation. Fuzzy Sets Syst. 97, 349–359 (1998)CrossRefMATH
39.
40.
Metadaten
Titel
A Consensus Reaching Support System for Multi-criteria Decision Making Problems
verfasst von
Dominika Gołuńska
Janusz Kacprzyk
Copyright-Jahr
2016
Buch
Challenging Problems and Solutions in Intelligent Systems

Print ISBN: 978-3-319-30164-8

Electronic ISBN: 978-3-319-30165-5

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-30165-5_11

Premium Partner

    Bildnachweise