Granular counting of uncertain data

We propose a definition of granular count realized in the presence of uncertain data modeled through possibility distributions. We show that the resulting counts are fuzzy intervals in the domain of natural numbers. Based on this result, we devise two algorithms for granular counting: an exact count...

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Bibliographic Details

Published in:	Fuzzy sets and systems Vol. 387; pp. 108 - 126
Main Authors:	Mencar, C., Pedrycz, W.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 15.05.2020
Subjects:	Counting Fuzzy Granular computing Possibility theory Possibility theory Granular computing Fuzzy Counting
ISSN:	0165-0114
Online Access:	Get full text
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