Ranking fuzzy numbers based on decomposition principle and signed distance
Fuzzy Sets and Systems - Special issue on fuzzy numbers and uncertainty
An overview of methods for determining OWA weights: Research Articles
International Journal of Intelligent Systems
Fuzzy risk analysis based on interval-valued fuzzy numbers
Expert Systems with Applications: An International Journal
The collapsing method of defuzzification for discretised interval type-2 fuzzy sets
Information Sciences: an International Journal
An integrated model-based interactive approach to FMAGDM with incomplete preference information
Fuzzy Optimization and Decision Making
Type-2 fuzzy sets as functions on spaces
IEEE Transactions on Fuzzy Systems
Interactive multiobjective fuzzy random programming through the level set-based probability model
Information Sciences: an International Journal
Fuzzy Optimization and Decision Making
Fuzzy multiple attributes group decision-making based on ranking interval type-2 fuzzy sets
Expert Systems with Applications: An International Journal
Ranking of fuzzy numbers by sign distance
Information Sciences: an International Journal
Multi-attribute group decision making models under interval type-2 fuzzy environment
Knowledge-Based Systems
Supplier selection using axiomatic fuzzy set and TOPSIS methodology in supply chain management
Fuzzy Optimization and Decision Making
Membership maximization prioritization methods for fuzzy analytic hierarchy process
Fuzzy Optimization and Decision Making
Information Sciences: an International Journal
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The theory of interval type-2 fuzzy sets provides an intuitive and computationally feasible way of addressing uncertain and ambiguous information in decision-making fields. The aim of this paper is to develop an interactive method for handling multiple criteria group decision-making problems, in which information about criterion weights is incompletely (imprecisely or partially) known and the criterion values are expressed as interval type-2 trapezoidal fuzzy numbers. With respect to the relative importance of multiple decision-makers and group consensus of fuzzy opinions, a hybrid averaging approach combining weighted averages and ordered weighted averages was employed to construct the collective decision matrix. An integrated programming model was then established based on the concept of signed distance-based closeness coefficients to determine the importance weights of criteria and the priority ranking of alternatives. Subsequently, an interactive procedure was proposed to modify the model according to the decision-makers' feedback on the degree of satisfaction toward undesirable solution results for the sake of gradually improving the integrated model. The feasibility and applicability of the proposed methods are illustrated with a medical decision-making problem of patient-centered medicine concerning basilar artery occlusion. A comparative analysis with other approaches was performed to validate the effectiveness of the proposed methodology.