This paper presents an approach to calculate the dissimilarity between probabilistic symbolic objects. The proposed dissimilarity measure is based on both a comparison function and an aggregation function. Comparison function is a proximity coefficient based on statistical information given by each probabilistic elementary event. The aggregation function is a proximity index, related to Minkowski measure, which aggregates the results given by comparison functions.
This paper presents an approach to calculate the dissimilarity between probabilistic symbolic objects. The proposed dissimilarity measure is based on both a comparison function and an aggregation function. Comparison function is a proximity coefficient based on statistical information given by each probabilistic elementary event. The aggregation function is a proximity index, related to Minkowski measure, which aggregates the results given by comparison functions.
A Dissimilarity Measure between Probabilistic Symbolic Objects / Bocci, Laura. - STAMPA. - (2001), pp. 69-76.
A Dissimilarity Measure between Probabilistic Symbolic Objects
BOCCI, Laura
2001
Abstract
This paper presents an approach to calculate the dissimilarity between probabilistic symbolic objects. The proposed dissimilarity measure is based on both a comparison function and an aggregation function. Comparison function is a proximity coefficient based on statistical information given by each probabilistic elementary event. The aggregation function is a proximity index, related to Minkowski measure, which aggregates the results given by comparison functions.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
