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A penalty-based aggregation operator for non-convex intervals
2014
Knowledge-Based Systems
In the case of real-valued inputs, averaging aggregation functions have been studied extensively with results arising in fields including probability and statistics, fuzzy decision-making, and various sciences. Although much of the behavior of aggregation functions when combining standard fuzzy membership values is well established, extensions to interval-valued fuzzy sets, hesitant fuzzy sets, and other new domains pose a number of di culties. The aggregation of non-convex or discontinuous
doi:10.1016/j.knosys.2014.07.011
fatcat:xqv7o6jy3bcwvcv57c5wppyf5u