ARIADNE: a knowledge-based interactive system for planning and decision support
IEEE Transactions on Systems, Man and Cybernetics
A foundation for the study of group decision support systems
Management Science
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Fuzzy logic, neural networks, and soft computing
Communications of the ACM
A sequential selection process in group decision making with a linguistic assessment approach
Information Sciences—Intelligent Systems: An International Journal
Fuzzy multiple criteria decision making: recent developments
Fuzzy Sets and Systems - Special issue on fuzzy multiple criteria decision making
Fuzzy credibility relation method for multiple criteria decision-making problems
Information Sciences: an International Journal
A note on synthesizing group decisions
Decision Support Systems
Organizational knowledge resources
Decision Support Systems - Knowledge management support of decision making
Group prioritization in the AHP by fuzzy preference programming method
Computers and Operations Research
Information Sciences—Informatics and Computer Science: An International Journal
An overview of methods for determining OWA weights: Research Articles
International Journal of Intelligent Systems
Toward a generalized theory of uncertainty (GTU): an outline
Information Sciences—Informatics and Computer Science: An International Journal
Implementation of a group decision support system utilizing collective memory
Information and Management
A majority model in group decision making using QMA–OWA operators: Research Articles
International Journal of Intelligent Systems
Fuzzy multicriteria decision making—an overview
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Information Sciences: an International Journal
Modeling the concept of majority opinion in group decision making
Information Sciences: an International Journal
Information Sciences: an International Journal
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
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In a complex social, political, economic, technological, and/or environmental context, corporate, military, government, and other organizations are often faced with collective decision-making situations. The rationale for group decision exercises is that the judgment of many will usually prove superior to the judgment of one. However, it has been shown that collective decision exercises are often highly dependent on matters of perspective, values and opinion, all of which - being essentially subjective in nature - are beyond the reach of existing formal decision technology. Furthermore, it can be expected that many collective decision exercises - particularly those of strategic import - will not lend themselves to the quantitative analysis instruments that have long dominated the management and decision science repertoire. This does not, however, mean that they must remain entirely and forever outside the bounds of scientific rationality. The ordering protocols which are currently available do not have enough technical mechanics to be relied upon to bring us to any satisfying resolution of a priori disputation. Hence, we propose an a priori ordering reference model that might support consensus-building in a multiple stakeholders context. In order to detect whether the subjective arguments are products of proper reasons or merely instances of raw rhetoric and to suggest how any logical or syntactical flaws might best be repaired, we propose logical ordering facilities and protocols for integrating procedural and instrumental provisions for a group-decision process with two lines of technical innovation: the superimpositional ordering function and the logical ordering support facilities.