Advanced search
1 file | 497.39 KB Add to list

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

(2008) SOFT COMPUTING. 12(3). p.289-299
Author
Organization
Abstract
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.
Keywords
ENVIRONMENT, PREFERENCES, CRITERIA, SOFTWARE-DEVELOPMENT, situation assessments, multi-criteria decision-making, group decision-making, fuzzy sets, SELECTION, SUPPORT, SETS

Downloads

  • (...).pdf
    • full text
    • |
    • UGent only
    • |
    • PDF
    • |
    • 497.39 KB

Citation

Please use this url to cite or link to this publication:

MLA
Lu, Jie, Guangquan Zhang, and Da Ruan. “Intelligent Multi-criteria Fuzzy Group Decision-making for Situation Assessments.” SOFT COMPUTING 12.3 (2008): 289–299. Print.
APA
Lu, J., Zhang, G., & Ruan, D. (2008). Intelligent multi-criteria fuzzy group decision-making for situation assessments. SOFT COMPUTING, 12(3), 289–299.
Chicago author-date
Lu, Jie, Guangquan Zhang, and Da Ruan. 2008. “Intelligent Multi-criteria Fuzzy Group Decision-making for Situation Assessments.” Soft Computing 12 (3): 289–299.
Chicago author-date (all authors)
Lu, Jie, Guangquan Zhang, and Da Ruan. 2008. “Intelligent Multi-criteria Fuzzy Group Decision-making for Situation Assessments.” Soft Computing 12 (3): 289–299.
Vancouver
1.
Lu J, Zhang G, Ruan D. Intelligent multi-criteria fuzzy group decision-making for situation assessments. SOFT COMPUTING. 2008;12(3):289–99.
IEEE
[1]
J. Lu, G. Zhang, and D. Ruan, “Intelligent multi-criteria fuzzy group decision-making for situation assessments,” SOFT COMPUTING, vol. 12, no. 3, pp. 289–299, 2008.
@article{2918840,
  abstract     = {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.},
  author       = {Lu, Jie and Zhang, Guangquan and Ruan, Da},
  issn         = {1432-7643},
  journal      = {SOFT COMPUTING},
  keywords     = {ENVIRONMENT,PREFERENCES,CRITERIA,SOFTWARE-DEVELOPMENT,situation assessments,multi-criteria decision-making,group decision-making,fuzzy sets,SELECTION,SUPPORT,SETS},
  language     = {eng},
  number       = {3},
  pages        = {289--299},
  title        = {Intelligent multi-criteria fuzzy group decision-making for situation assessments},
  url          = {http://dx.doi.org/10.1007/s00500-007-0197-4},
  volume       = {12},
  year         = {2008},
}

Altmetric
View in Altmetric
Web of Science
Times cited: