Granular counting of uncertain data-Reference-Cited by-同舟云学术

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Granular counting of uncertain data

Published:2020-05 Issue: Volume:387 Page:108-126
ISSN:0165-0114
Container-title:Fuzzy Sets and Systems
language:en
Short-container-title:Fuzzy Sets and Systems

Author:

Mencar C.^ORCID,Pedrycz W.

Funder

Government of Canada

Publisher

Elsevier BV

Subject

Artificial Intelligence,Logic

Reference35 articles.

1. The Data Revolution: Big Data, Open Data, Data Infrastructures & Their Consequences;Kitchin,2014

2. A survey of uncertain data algorithms and applications;Aggarwal;IEEE Trans. Knowl. Data Eng.,2009

3. How data workers cope with uncertainty: a task characterisation study;Boukhelifa,2017

4. If you can't beat them, join them;Kakar,2015

5. Making risk minimization tolerant to label noise;Ghosh;Neurocomputing,2015

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2. Formal Concept Analysis Applications in Bioinformatics;ACM Computing Surveys;2022-12-23

3. Connections Between Granular Counts and Twofold Fuzzy Sets;Information Processing and Management of Uncertainty in Knowledge-Based Systems;2022

4. Generalized support vector machines (GSVMs) model for real-world time series forecasting;Soft Computing;2021-09-03

5. An Incremental Algorithm for Granular Counting with Possibility Theory;2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE);2020-07

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