Aggregation of ordinal information
Fuzzy Optimization and Decision Making
Weighted aggregation operators based on minimization
Information Sciences: an International Journal
Prioritized aggregation operators
International Journal of Approximate Reasoning
Fuzzy Sets and Systems
DeMorgan systems with an infinitely many negations in the strict monotone operator case
Information Sciences: an International Journal
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We introduce the t-norm and discuss the representation of this operator by additive generators. An approach is suggested for including importances in t-norm aggregation taking advantage of this representation of the t-norm. We look at formulations resulting for a variety of t-norms. We then apply the approach to the t-conorm and look at its effect on a variety of t-conorms. Finally, we turn to the uninorm and suggest an analogous method for including weighting in uninorm aggregations. © 2004 Wiley Periodicals, Inc.