Computers and Operations Research
A model of consensus in group decision making under linguistic assessments
Fuzzy Sets and Systems
A rational consensus model in group decision making using linguistic assessments
Fuzzy Sets and Systems
On the combination and normalization of interval-valued belief structures
Information Sciences: an International Journal
Consensus-based intelligent group decision-making model for the selection of advanced technology
Decision Support Systems
IEEE Transactions on Fuzzy Systems
Interval efficiency assessment using data envelopment analysis
Fuzzy Sets and Systems
Reasoning with imprecise belief structures
International Journal of Approximate Reasoning
A web based consensus support system for group decision making problems and incomplete preferences
Information Sciences: 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
Induced generalized intuitionistic fuzzy operators
Knowledge-Based Systems
Deriving interval weights from an interval multiplicative consistent fuzzy preference relation
Knowledge-Based Systems
The quasi-arithmetic intuitionistic fuzzy OWA operators
Knowledge-Based Systems
On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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 Fuzzy Systems
A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations
IEEE Transactions on Fuzzy Systems
Structure learning for belief rule base expert system: A comparative study
Knowledge-Based Systems
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This paper proposes a method to reach required group consensus (GC) and find GC-based solutions to multiple attribute group decision analysis (MAGDA) problems using interval-valued belief structures (IBSs) based on evidential reasoning approach. The GC at the attribute, alternative and global levels is constructed based on IBSs. Subjective weights of experts, weights of attributes, and utilities of experts for assessment grades are extended to intervals. Hereinto, the former two can be characterized by four kinds of relevant constraints, and combined with the constraints to be incorporated into the optimization problems for the GC. Also, utilities of experts for assessment grades with the consistent combination of relevant constraints and their intrinsic constraint contribute to the GC. Further, a strategy for experts to renew assessments is designed to improve the GC. A preferentially developed industry selection problem is solved by the proposed method to demonstrate its detailed implementation process, and its validity and applicability.