Results 11 to 20 of about 2,059,205 (180)
Energies, 2023 The subject of electric vehicles (EVs) is constantly relevant from the perspective of climate change and sustainability. Multi-Criteria Decision Analysis (MCDA) methods can be successfully used to evaluate models of such vehicles. In many cases, the MCDA
Aleksandra Kaczyńska +3 more
doaj +1 more source
Obstructed Nearest Neighbor Query Under Uncertainty in the Internet of Things Environment
IEEE Access, 2021 The internet of things provides a convenient life for all of us. Physical devices with locational systems connected to the internet can provide navigation and recommendation services in cooperation with the Location Based Services (LBS).
Chen Kun-Lun +4 more
doaj +1 more source
Efficient Skyline Computation on
IEEE Access, 2021 The database community has observed in the past two decades, the growth of research interest in preference queries, each of which has its unique techniques, benefits, and drawbacks. One of them is skyline queries.
Nurul Husna Mohd Saad +4 more
doaj +1 more source
Reliability Evaluation of the Factors That Influenced COVID-19 Patients’ Condition
Applied Sciences, 2021 Health and safety is a problem that is intensively discussed nowadays. The failures in healthcare are called medical errors: if the patient’s condition worsens or he/she contracts an illness, then the actions that led to this are interpreted as medical ...
Vitaly Levashenko +2 more
doaj +1 more source
Vessels Route Planning Problem with Uncertain Data [PDF]
TransNav, 2016 The purpose of this paper is to find a solution for route planning in a transport networks, where the costs of tracks, factor of safety and travel time are ambiguous.
Tomasz Neumann
doaj +1 more source
Uncertain Data Envelopment Analysis [PDF]
European Journal of Operational Research, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Matthias Ehrgott +2 more
openaire +3 more sources
Uncertain centroid based partitional clustering of uncertain data [PDF]
Proceedings of the VLDB Endowment, 2012 Clustering uncertain data has emerged as a challenging task in uncertain data management and mining. Thanks to a computational complexity advantage over other clustering paradigms, partitional clustering has been particularly studied and a number of algorithms have been developed.
Gullo F, Tagarelli A
openaire +3 more sources
Efficient Time and Space Representation of Uncertain Event Data
Algorithms, 2020 Process mining is a discipline which concerns the analysis of execution data of operational processes, the extraction of models from event data, the measurement of the conformance between event data and normative models, and the enhancement of all ...
Marco Pegoraro +2 more
doaj +1 more source
Proceedings of the twenty-eighth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, 2009 Querying uncertain data has emerged as an important problem in data management due to the imprecise nature of many measurement data. In this paper we study answering range queries over uncertain data. Specifically, we are given a collection P of n points in R, each represented by its one-dimensional probability density function (pdf).
Pankaj K. Agarwal +3 more
openaire +2 more sources
Clustering of Fuzzy Data Sets Based on Particle Swarm Optimization With Fuzzy Cluster Centers [PDF]
International Journal of Industrial Engineering and Production Research, 2022 In current study, a particle swarm clustering method is suggested for clustering triangular fuzzy data. This clustering method can find fuzzy cluster centers in the proposed method, where fuzzy cluster centers contain more points from the corresponding ...
seyed hamid zahiri +2 more
doaj