A new method for huge group decision-making

Author

Liu, Rong ; Chen, Xiaohong

Author_Institution

Changsha Univ. of Sci. & Technol., Changsha

fYear

2007

fDate

2-4 Dec. 2007

Firstpage

179

Lastpage

183

Abstract

With the appearance of the issue of huge group decision-making and the status quo that group-aggregation decision is only effective for small-scale groups, this paper firstly designs an improved minimum fuzzy C-means (MFCM) based on minimum connected dominating set algorithm (MCDSA), and then, through defining the group-preference vector, group-consensus index and group decision value, the paper puts forward a new method to deal with huge group aggregation by making use of MFCM. As is shown by simulations and control analysis, the new method could effectively resolve the problem of making decisions for a group with a membership of over 600 .

Keywords

decision making; fuzzy set theory; operations research; group decision value; group-aggregation decision; group-consensus index; group-preference vector; huge group decision-making; minimum connected dominating set algorithm; minimum fuzzy C-means; status quo; Algorithm design and analysis; Analytical models; Clustering algorithms; Clustering methods; Current supplies; Decision making; Fuzzy sets; Large-scale systems; Proposals; Technology management; clustering Algorithm; group-aggregation; huge Group decision-making;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Engineering and Engineering Management, 2007 IEEE International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-1529-8

Electronic_ISBN

978-1-4244-1529-8

Type

conf

DOI

10.1109/IEEM.2007.4419175

Filename

4419175