Penalty functions constructed from QL subsethood measures
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017•ieeexplore.ieee.org
Penalty functions are widely used to measure disagreement or consensus. On the other
hand, subsethood measures have been applied in several areas. In this paper, we introduce
a method for constructing penalty functions by means of QL fuzzy subsethood measures,
introduced by Dimuro et al., which are built from QL-operations derived from tuples (O, G, N),
for overlap functions O, grouping functions G and fuzzy negations N.
hand, subsethood measures have been applied in several areas. In this paper, we introduce
a method for constructing penalty functions by means of QL fuzzy subsethood measures,
introduced by Dimuro et al., which are built from QL-operations derived from tuples (O, G, N),
for overlap functions O, grouping functions G and fuzzy negations N.
Penalty functions are widely used to measure disagreement or consensus. On the other hand, subsethood measures have been applied in several areas. In this paper, we introduce a method for constructing penalty functions by means of QL fuzzy subsethood measures, introduced by Dimuro et al., which are built from QL-operations derived from tuples (O, G, N), for overlap functions O, grouping functions G and fuzzy negations N.
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