On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
A data envelopment model for aggregating preference rankings
Management Science
A preference aggregation method through the estimation of utility intervals
Computers and Operations Research
A minimax disparity approach for obtaining OWA operator weights
Information Sciences: an International Journal
Flexible fuzzy OWA querying method for hemodialysis database
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Aggregating preference rankings using OWA operator weights
Information Sciences: an International Journal
Aggregation of fuzzy preference relations to multicriteria decision making
Fuzzy Optimization and Decision Making
Bipolar preference modeling and aggregation in decision support
International Journal of Intelligent Systems
Parameterized defuzzification with continuous weighted quasi-arithmetic means - An extension
Information Sciences: an International Journal
Hi-index | 12.05 |
This paper seeks to test and to determine a suitable aggregation method to represent a set of rankings made by individual decision makers (DMs). A case study for triage prioritization is used to test the aggregation methods. The triage is a decision-making process with which patients are prioritized according to their medical condition and chance of survival on arrival at the emergency department (ED). There is a lot of subjective decision-making in the process which leads to discrepancies among nurses. Four rank aggregation methods are applied to the prioritization data and then an expert evaluates the results and judges them on practicality and acceptability. The proposed recommendation for preference aggregation is the method of the estimation of utility intervals. Expert opinion is highly valued in a decision-making environment such as this, where experience and intuition are key to successful job performance and outcomes.