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Ústav pro výzkum a aplikace fuzzy modelování (94410)
Title:
On missing membership degrees: Modelling non-existence, ignorance and inconsistency
Citace
Burda, M., Murinová, P. a Pavliska, V. On missing membership degrees: Modelling non-existence, ignorance and inconsistency.
In:
Uncertainty Modelling in Data Science 2018 Compiegne, France.
Cham, Switzerland: Springer Nature, 2019. s. 25-32. ISBN 978-331997546-7.
Subtitle
Publication year:
2019
Obor:
Number of pages:
8
Page from:
25
Page to:
32
Form of publication:
Tištená verze
ISBN code:
978-331997546-7
ISSN code:
Proceedings title:
Uncertainty Modelling in Data Science
Proceedings:
Publisher name:
Springer Nature
Place of publishing:
Cham, Switzerland
Country of Publication:
Název konference:
Místo konání konference:
Compiegne, France
Datum zahájení konference:
Typ akce podle státní
příslušnosti účastníků:
Celosvětová akce
WoS code:
EID:
2-s2.0-85051107870
Key words in English:
Fuzzy set, Ignorance, Inconsistency, Missing membership degrees, Non-existence
Annotation in original language:
In real-world applications, mathematical models must often deal with values that are missing or undefined. The aim of this paper is to provide a survey on types and reasons for such non-availability. It motivates the need to handle different reasons for missingness in a different, but appropriate way. In particular, non-existence, ignorance, and inconsistency are studied. The paper also presents a novel way of how to compute with different types of missing values at the same time.
Annotation in english language:
References
Reference
R01:
RIV/61988987:17610/19:A2001VLO
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