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Automated Group Decision Support Systems Under Uncertainty: Trends and Future Research
Author(s) -
Robert John,
Jonathan M. Garibaldi,
Francisco Chicalana,
ShangMing Zhou
Publication year - 2008
Publication title -
international journal of computational intelligence research
Language(s) - English
Resource type - Journals
eISSN - 0974-1259
pISSN - 0973-1873
DOI - 10.5019/j.ijcir.2008.152
Subject(s) - group decision making , computer science , r cast , perspective (graphical) , decision analysis , fuzzy logic , management science , decision engineering , group (periodic table) , optimal decision , business decision mapping , operations research , fuzzy set , decision support system , artificial intelligence , machine learning , mathematics , decision tree , psychology , statistics , engineering , social psychology , chemistry , organic chemistry
In the real world, group decision making is one of the most significant and omnipresent human decision making activities. The central problem of group decision making is to develop "fair" methods for aggregating individual alternatives (options, variants, etc.) to yield a consensus decision that is most accept- able to the group as a whole. It has become a subject of in- tensive research due to its practical and academic significance. But group decision making is innately uncertain, so a promis- ing framework of decision making in groups is to consider un- certainty measures in the processes of model construction, so as to achieve optimal solutions in terms of best degrees of consen- sus of final decisions. This paper aims to provide an in-depth overview of group decision making incorporating uncertainty from the perspective of fuzzy sets (including type-1 and type- 2 fuzzy sets). Some potential new research directions on fuzzy group decision making are suggested.

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