Using a notion of acceptable in uncertain ordinal decision making
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Toward the intelligent control of hierarchical clustering
Technologies for constructing intelligent systems
Ordinal decision making with a notion of acceptable: denoted ordinal scales
Data mining, rough sets and granular computing
A Formal Model of Fuzzy Ontology with Property Hierarchy and Object Membership
ER '08 Proceedings of the 27th International Conference on Conceptual Modeling
A fuzzy description logic with automatic object membership measurement
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
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We introduce and define the concept of mean aggregation of a collection of n numbers. We point out that the lack of associativity of this operation compounds the problem of the extending mean of n numbers to n+1 numbers. The closely related concepts of self identity and the centering property are introduced as one imperative for extending mean aggregation operators. The problem of weighted mean aggregation is studied. A new concept of prioritized mean aggregation is then introduced. We next show that the technique of selecting an element based upon the performance of a random experiment can be considered as a mean aggregation operation