Expert Methods to Analyze and Perfect Management Systems

Dorofeyuk, A. A.; Pokrovskaya, I. V.; Chernyavkii, A. L.

doi:10.1023/b:aurc.0000044276.99273.a0

Cited by 7 publications

(2 citation statements)

References 2 publications

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“…In an approach by Dorofeyuk, Pokrovskaya, and Chernyavkii (2004) a data source is described by three qualities: understandability (a subjective criterion), extent (an objective criterion), and availability (an objective criterion), whereas the efficiency of a given data source is the weighted sum of its quality scores. Weights are calculated using linear programming.…”

Section: Maritime Data Qualitymentioning

confidence: 99%

Data analysis in the maritime domain

Stróżyna¹,

Abramowicz²,

Węcel³

et al. 2022

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The book delivers a rich set of foundations, state-of-the-art knowledge, new approaches and methods for the purpose of anomalies detection, maritime traffic analysis as well as risk and reliability assessment. It addresses relevant research problems at the intersection of maritime transport in global economies, reliability and risk assessment, and information systems and data processing. The book provides a theoretical overview of available maritime data sources and approaches for maritime data analysis, as well as a set of novel tools and methods for maritime data retrieval, fusion, and analysis. The proposed methods are evaluated on real-life AIS data, covering the entire world and more than 200 thousands of vessels, illustrating how they may be used for anomaly detection and risk assessment. The primary audience of the book are researchers from the fields of computer science and maritime transport as well as logistics service providers, shipping companies and port authorities companies that need support in managing security, safety, and risk of maritime transport services in global economies by making use of large-scale data processing.

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Section: Maritime Data Qualitymentioning

confidence: 99%

Data analysis in the maritime domain

Stróżyna¹,

Abramowicz²,

Węcel³

et al. 2022

View full text Add to dashboard Cite

show abstract

“…In an approach by Dorofeyuk et al (2004) a data source is described by three qualities in this method: understandability (a subjective criterion), extent (an objective criterion), and availability (an objective criterion), whereas the efficiency of a given data source is the weighted sum of its quality scores. Weights are calculated using linear programming.…”

Section: Related Workmentioning

confidence: 99%

A framework for the quality-based selection and retrieval of open data - a use case from the maritime domain

et al. 2017

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The paper presents a proposal for a framework for the identification, assessment and selection of open data sources based on certain quality criteria, such as accessibility, relevance, accuracy & reliability, clarity, timeliness & punctuality, and coherence & comparability. The framework concerns mainly open data sources and focuses on their quality. The open data are used to enhance existing internal data and to fuse them with data from other sources. The framework consists of few steps starting from definition of quality criteria based on review of relevant literature and user requirements, then identification of potential sources, sources assessment and selection, and finally data retrieval process. For each step, a specific approach is described, how it may be conducted in practice. The proposed framework is evaluated using a real use case scenario from the maritime domain. The main approach utilized in this use-case is the Delphi method with some characteristics of Analytic Hierarchy Process.

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