Quantifying fairness in queuing systems: Principles, approaches, and applicability
Probability in the Engineering and Informational Sciences
From social computing to reflexive collective intelligence: The IEML research program
Information Sciences: an International Journal
On model design for simulation of collective intelligence
Information Sciences: an International Journal
Characterizing the diversity in users' perceptions
INTERACT'07 Proceedings of the 11th IFIP TC 13 international conference on Human-computer interaction
Searching for overlapping coalitions in multiple virtual organizations
Information Sciences: an International Journal
Including a diversity criterion in decision making
International Journal of Intelligent Systems
A web based consensus support system for group decision making problems and incomplete preferences
Information Sciences: an International Journal
Information Sciences: an International Journal
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Our concern is with the quantification of the concept of fairness when we are selecting a subset of n elements from a set of elements T. We are particularly interested in the situation in which the set of T elements is viewed as consisting of q distinct categories, and a prescribed number of the n chosen objects must be selected from each of the q categories. We suggest a measure of fairness and investigate its performance under a number of different diversity requirements on the selection from the different categories.