A model of consensus in group decision making under linguistic assessments
Fuzzy Sets and Systems
Aggregation of fuzzy opinions under group decision making
Fuzzy Sets and Systems
A rational consensus model in group decision making using linguistic assessments
Fuzzy Sets and Systems
A dynamical model for reaching consensus in group decision making
SAC '95 Proceedings of the 1995 ACM symposium on Applied computing
Optimal consensus of fuzzy opinions under group decision making environment
Fuzzy Sets and Systems
Consensus-based intelligent group decision-making model for the selection of advanced technology
Decision Support Systems
A consistency-based procedure to estimate missing pairwise preference values
International Journal of Intelligent Systems
Group-based ER-AHP system for product project screening
Expert Systems with Applications: An International Journal
Failure mode and effects analysis using a group-based evidential reasoning approach
Computers and Operations Research
Group decision making with incomplete fuzzy linguistic preference relations
International Journal of Intelligent Systems
IEEE Transactions on Fuzzy Systems
Interval efficiency assessment using data envelopment analysis
Fuzzy Sets and Systems
Analyzing consensus approaches in fuzzy group decision making: advantages and drawbacks
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Soft Computing in Decision Modeling; Guest Editors: Vicenc Torra, Yasuo Narukawa
A web based consensus support system for group decision making problems and incomplete preferences
Information Sciences: an International Journal
Group decision making problems in a linguistic and dynamic context
Expert Systems with Applications: An International Journal
A mobile decision support system for dynamic group decision-making problems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Group Decision-Making Model With Incomplete Fuzzy Preference Relations Based on Additive Consistency
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A consensus model for multiperson decision making with different preference structures
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Fuzzy Systems
A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations
IEEE Transactions on Fuzzy Systems
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In group decision analysis, consensus has usually been reached by one of two strategies, modifying assessments of experts and adjusting weights of experts. Due to lack of attention paid to the unauthentic change and neglect of experts' assessments, respectively, this paper develops a consensus framework to combine them. The consensus framework is implemented in an evidential reasoning context. It can deal effectively with the situation of missing assessments on specific attributes (the attributes are called missing attributes), which may be caused by lack or limitation of knowledge, experience, and available data about the problem domain. The recommendations generated based on the idea of reaching the maximal consensus on missing attributes and group discussion help experts to give effective assessments on missing attributes. Furthermore, the consensus framework contains a feedback mechanism to provide guidance for experts in order to accelerate convergence to consensus. Identification rules at three levels, including the attribute, alternative and global levels, and a suggestion rule are involved in the feedback mechanism. The former indicates that specific experts are recommended to renew their identified assessments damaging consensus, and the latter generates appropriate recommendations for the experts to renew their assessments. If consensus is still not reached after two consecutive rounds of recommendation generating and assessment renewing, then optimization algorithms still constructed at three levels are used to adjust subjective weights of experts so as to facilitate convergence to consensus. An engineering project management software selection problem is solved by the consensus framework to demonstrate its detailed implementation process, validity, and applicability.