Aggregation techniques for statistical confidentiality
Aggregation operators
Theory and application of the composed fuzzy measure of L-measure and delta-measures
WSEAS Transactions on Systems and Control
Theory of multivalent delta-fuzzy measures and its application
WSEAS Transactions on Information Science and Applications
Choquet integral with respect to extensional L-measure and its application
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 6
Composed fuzzy measure of maximized L-measure and delta-measure
WSEAS Transactions on Information Science and Applications
New aggregation operators based on the Choquet integral and 2-tuple linguistic information
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
The weighted arithmetic mean and the regression methods are the most often used operators to aggregate criteria in decision making problems with the assumption that there are no interactions among criteria. When interactions among criteria exist, the discrete Choquet integral is proved to be an adequate aggregation operator by further taking into accounts the interactions. In this study, we propose a complexity-based method to construct fuzzy measures needed by the discrete Choquet integral and a real data set is analyzed. The advantage of the complexity-based method is that no population probability is to be estimated such that the error of estimating the population probability is reduced. Four methods, including weighted arithmetic method, regression-based method, the discrete Choquet integral with the entropy-based method, and our proposed discrete Choquet integral with the complexity-based method, are used in this study to evaluate the students' performance based on a Basic Competence Test. The results show that the students' overall performance evaluated by our proposed discrete Choquet integral with the complexity-based method is the best among the four methods when the interactions among criteria exist.