Soft Computing

, Volume 12, Issue 3, pp 289–299 | Cite as

Intelligent multi-criteria fuzzy group decision-making for situation assessments

  • Jie Lu
  • Guangquan Zhang
  • Da Ruan


Organizational decisions and situation assessment are often made in groups, and decision and assessment processes involve various uncertain factors. To increase efficiently group decision-making, this study presents a new rational–political model as a systematic means of supporting group decision-making in an uncertain environment. The model takes advantage of both rational and political models and can handle inconsistent assessment, incomplete information and inaccurate opinions in deriving the best solution for the group decision under a sequential framework. The model particularly identifies three uncertain factors involved in a group decision-making process: decision makers’ roles, preferences for alternatives, and judgments for assessment-criteria. Based on this model, an intelligent multi-criteria fuzzy group decision-making method is proposed to deal with the three uncertain factors described by linguistic terms. The proposed method uses general fuzzy numbers and aggregates these factors into a group satisfactory decision that is in a most acceptable degree of the group. Inference rules are particularly introduced into the method for checking the consistence of individual preferences. Finally, a real case-study on a business situation assessment is illustrated by the proposed method.


Group decision-making Fuzzy sets Multi-criteria decision-making Situation assessments 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Alavi M, Keen PGW (1989) Business teams in an information age. Inf Soc 6:179–195CrossRefGoogle Scholar
  2. Alliance website, 2006Google Scholar
  3. Bhargava H, Krishnan R, Muller R (1997) Decision support on demanded: Emerging electronic markets for decision technologies. Deci Support Syst 19:193–214CrossRefGoogle Scholar
  4. Bose U, Davey AM, Olson DL (1997) Multi-attribute utility methods in group decision making: past applications and potential for inclusion in GDSS. Omega 25:691–706CrossRefGoogle Scholar
  5. Bui T (1989). Co-oP: A group decision support system for cooperative multiple criteria group decision-making. Springer, BerlinGoogle Scholar
  6. Carlsson C, Fuller R (1996) Fuzzy multiple criteria decision making: Recent developments. Fuzzy Sets Syst 78:139–153zbMATHCrossRefMathSciNetGoogle Scholar
  7. Chang P, Chen Y (1994) A fuzzy multicriteria decision making method for technology transfer strategy selection in biotechnology. Fuzzy Sets Syst 63:131–139zbMATHCrossRefGoogle Scholar
  8. Chen CT (2000a) Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets Syst 114:1–9zbMATHCrossRefGoogle Scholar
  9. Chen SM (2000b) Aggregation fuzzy opinions in the group decision-making environment. Cybern Syst 29:363–376CrossRefGoogle Scholar
  10. Dubois D, Grabisch M, Prade H, Smets P (2001) Using the transferable belief model and a qualitative possibility theory approach on an illustrative example: the assessment of the value of a candidate. Int J Intell Syst 16:1245–1272zbMATHCrossRefGoogle Scholar
  11. Herrera F, Verdegay JL (1994) On group decision making under linguistic preferences and fuzzy linguistic quantifiers. In: Proceedings of 5th international conference on information processing and management of uncertainty in knowledge-based Systems, Paris, pp 418–422Google Scholar
  12. Hsu H, Chen C (1996) Aggregation of fuzzy opinions under group decision-making. Fuzzy Sets Syst 55:241–253Google Scholar
  13. Kacprzyk J, Fedrizzi M, Nurmi H (1992) Group decision making and consensus under fuzzy preference and fuzzy majority. Fuzzy Sets Syst 49:21–31zbMATHCrossRefMathSciNetGoogle Scholar
  14. Karacapilidis N, Pappis C (2000) Computer-supported collaborative argumentation and fuzzy similarity measures in multiple criteria decision-making. Comput Oper Res 27:653–671zbMATHCrossRefGoogle Scholar
  15. Korhonen P, Wallenius J (1990) A multiple objective linear programming decision support system. Decis Support Syst 6:243–251CrossRefGoogle Scholar
  16. Kwok RCW, Ma J, Zhou D (2002) Improving group decision making: A fuzzy GSS approach. IEEE Trans Syst Man Cybern Part C Appl Rev 32:54–63CrossRefGoogle Scholar
  17. Lahti RK (1996) Group decision making within the organization: can models help? Scholar
  18. Lee H (1996) Group decision-making using fuzzy set theory for evaluating the rate of aggregative risk in software development. Fuzzy Sets Syst 80:261–271CrossRefGoogle Scholar
  19. Lyles MA, Thomas H (1988) Strategic problem formulation: biases and assumptions embedded in alternative decision-making models. J Manage Stud 25:131–145CrossRefGoogle Scholar
  20. Marimin M, Hatono I, Tamura H (1998) Linguistic labels for expressing fuzzy preference relations in fuzzy group decision making. IEEE Trans Syst Man Cybern 28:205–217CrossRefGoogle Scholar
  21. Nishizaki I, Seo F (1994) Interactive support for fuzzy trade-off evaluation in group decision-making. Fuzzy Sets Syst 68:309–325CrossRefGoogle Scholar
  22. Saaty T (1980) The analytic hierarchy process. McGraw-Hill, New YorkzbMATHGoogle Scholar
  23. Sakawa M (1993) Fuzzy sets and interactive multi-objective optimization. Plenum Press, New YorkGoogle Scholar
  24. Wang J, Lin YI (2003) A fuzzy multicriteria group decision making approach to select configuration items for software development. Fuzzy Sets Syst 134:343–363zbMATHCrossRefMathSciNetGoogle Scholar
  25. Yoon K, Hwang C (1995) Multiple attribute decision making—an introduction. SAGE Publications,Inc., Thousand OaksGoogle Scholar
  26. Zadeh LA (1965) Fuzzy sets. Inform Control 8:338–353zbMATHCrossRefMathSciNetGoogle Scholar
  27. Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning—part 1. Inf Sci 8:199–249CrossRefMathSciNetGoogle Scholar
  28. Zhang GQ (1998) Fuzzy number-valued measure theory. Tsinghua University Press, BeijingGoogle Scholar
  29. Zhang GQ, Lu J (2003) An integrated group decision making method with fuzzy preference for alternatives and individual judgments for selection criteria. Group Decis Negot 12:501–515CrossRefGoogle Scholar
  30. Zhang GQ, Lu J (2004) Using general fuzzy number to handle uncertainty and imprecision in group decision-making. In: Ruan D, Zeng X (eds) Intelligent sensory evaluation: methodologies and applications. Springer, Heidelberg, pp 51–70Google Scholar
  31. Zimmermann HJ (1987) Fuzzy sets, decision making and expert systems. Kluwer-Nijhoff Publishing, DordechtGoogle Scholar

Copyright information

© Springer-Verlag 2007

Authors and Affiliations

  1. 1.Faculty of Information TechnologyUniversity of Technology, Sydney (UTS)BroadwayAustralia
  2. 2.Belgian Nuclear Research Centre (SCKCEN)MolBelgium

Personalised recommendations