On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
The ordered weighted averaging operators: theory and applications
The ordered weighted averaging operators: theory and applications
Fuzzy aggregation of numerical preferences
Fuzzy sets in decision analysis, operations research and statistics
A case-based knowledge system for safety evaluation decision making of thermal power plants
Knowledge-Based Systems
A two-grade approach to ranking interval data
Knowledge-Based Systems
On the axiomatization of some classes of discrete universal integrals
Knowledge-Based Systems
A linguistic aggregation operator with three kinds of weights for nuclear safeguards evaluation
Knowledge-Based Systems
Improved hierarchical fuzzy TOPSIS for road safety performance evaluation
Knowledge-Based Systems
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The road safety performance of countries is conducted by combining seven main risk indicators into one index using a particular weighting and aggregation method. Weights can be determined with respect to the assumed importance of the indicator, whereas aggregation operators can be used to stress better performances differently from worse performances irrespective of the indicator's meaning. In this research, both expert weights and ordered weighted averaging operators are explored, evaluated and integrated resulting in a ranking of countries based on a road safety index.