Joint Proceedings of the 19th World Congress of the International Fuzzy Systems Association (IFSA), the 12th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), and the 11th International Summer School on Aggregation Operators (AGOP)

Possibilistic Granular Count: Derivation and Extension to Granular Sum

Authors
Corrado Mencar
Corresponding Author
Corrado Mencar
Available Online 30 August 2021.
DOI
10.2991/asum.k.210827.064How to use a DOI?
Keywords
Granular count, Granular sum, Possibility theory, Uncertain data
Abstract

Counting data in presence of uncertainty leads to granular counts that can be represented in terms of possibility distributions. The formula of granular count is derived on the basis of two weak assumptions that can be applied in a wide variety of problems involving uncertain data. The formulation is further extended to introduce the granular sum of counts, by taking into account the interactivity of granular counts. Numerical results show the differences in terms of specificity between granular sum and a direct application of the extension principle to sum granular counts.

Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Cite this article

TY  - CONF
AU  - Corrado Mencar
PY  - 2021
DA  - 2021/08/30
TI  - Possibilistic Granular Count: Derivation and Extension to Granular Sum
BT  - Joint Proceedings of the 19th World Congress of the International Fuzzy Systems Association (IFSA), the 12th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT), and the 11th International Summer School on Aggregation Operators (AGOP)
PB  - Atlantis Press
SP  - 486
EP  - 493
SN  - 2589-6644
UR  - https://doi.org/10.2991/asum.k.210827.064
DO  - 10.2991/asum.k.210827.064
ID  - Mencar2021
ER  -