Zobrazeno 1 - 10
of 4 017
pro vyhledávání: '"uncertain data"'
Publikováno v:
PeerJ Computer Science, Vol 10, p e2315 (2024)
In various fields, including medical science, datasets characterized by uncertainty are generated. Conventional clustering algorithms, designed for deterministic data, often prove inadequate when applied to uncertain data, posing significant challeng
Externí odkaz:
https://doaj.org/article/680ffbf08d99401e80bc752c62d67d4d
Publikováno v:
PeerJ Computer Science, Vol 10, p e2225 (2024)
Uncertainty of data, the degree to which data are inaccurate, imprecise, untrusted, and undetermined, is inherent in many contemporary database applications, and numerous research endeavours have been devoted to efficiently answer skyline queries ove
Externí odkaz:
https://doaj.org/article/82a1e7a892a0493581f63d8493afdc0b
Autor:
Mudathir Ahmed Mohamud, Hamidah Ibrahim, Fatimah Sidi, Siti Nurulain Mohd Rum, Zarina Binti Dzolkhifli, Zhang Xiaowei
Publikováno v:
IEEE Access, Vol 12, Pp 120877-120898 (2024)
The proliferation of high-dimensional data in many advanced database applications is a result of today’s technological advancements. These data points that correspond to objects are often without a precise description, which make their representati
Externí odkaz:
https://doaj.org/article/82a014deb80f49bb89d14c0416eebcd5
Publikováno v:
SoftwareX, Vol 26, Iss , Pp 101721- (2024)
Intuitionistic Fuzzy Multi-Criteria Decision Making methods provide a set of effective support tools that help the decision-maker deal with uncertainty in real-life complex decision-making problems. Therefore, we present IFMCDM, an open-source R pack
Externí odkaz:
https://doaj.org/article/bfdcae010b134fd3996cb86c45a849ff
Publikováno v:
Neutrosophic Sets and Systems, Vol 60, Pp 39-58 (2023)
The discovery of soft sets is accredited to Molodtsov. This theory can cope with difficult circumstances with a lot of ambiguity, like those where deciding is hard. The bipolar soft set (BSS) and neutrosophic soft set (NSS) are algebraic models that
Externí odkaz:
https://doaj.org/article/d12fd5bed624447b80f4297cdc0b17e2
Publikováno v:
SoftwareX, Vol 25, Iss , Pp 101620- (2024)
The paper introduces the update of the Python Intuitionistic Fuzzy Decision Making (PyIFDM) package, emphasizing its focus on Multi-Criteria Decision Analysis (MCDA) with uncertain data modeled as Intuitionistic Fuzzy Sets (IFS). The update enhances
Externí odkaz:
https://doaj.org/article/5bf9106712114f468590bbbe214c1e51
Autor:
Mateusz Majcher, Bogdan Kwolek
Publikováno v:
IEEE Access, Vol 11, Pp 139498-139508 (2023)
In the problem of object pose estimation, one way to cope with the effect of ambiguity is to use multiple hypotheses. In this work, rather than generating the output pose based on a single object pose, our objective is to enable the system to be awar
Externí odkaz:
https://doaj.org/article/65a76d85a916496997e33858d5a0da0f
Autor:
Mudathir Ahmed Mohamud, Hamidah Ibrahim, Fatimah Sidi, Siti Nurulain Mohd Rum, Zarina Binti Dzolkhifli, Zhang Xiaowei, Ma'aruf Mohammed Lawal
Publikováno v:
IEEE Access, Vol 11, Pp 72813-72835 (2023)
Recently, skyline query processing over data stream has gained a lot of attention especially from the database community owing to its own unique challenges. Skyline queries aims at pruning a search space of a potential large multi-dimensional set of
Externí odkaz:
https://doaj.org/article/c3e9bcde6e33421291018cc4c8e89c37
Autor:
Weiwei Mao, Kaijie Xu
Publikováno v:
Mathematics, Vol 12, Iss 7, p 975 (2024)
As an information granulation technology, clustering plays a pivotal role in unsupervised learning, serving as a fundamental cornerstone for various data mining techniques. The effective and accurate classification of data is a central focus for nume
Externí odkaz:
https://doaj.org/article/2b5ba74946a642e88427301d1c841c09