Patterns in forming the ontology-based environment of information-analytical activity in administrative management

Nesterenko, Oleksandr; Trofymchuk, Oleksandr

doi:10.15587/1729-4061.2019.180107

Cited by 11 publications

(6 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…В різних суспільних сферах, зокрема в науці, освіті, адміністративному управлінні особливе значення має підтримка понятійного апарату та приведення до єдиних визначень (тлумачень) термінів, які стосуються предметної діяльності. Цим процесам завжди приділялась певна увага, але наразі, за часів технологічних зрушень і цифрових трансформацій, коли суттєво зростає обсяг потрібної для опрацювання інформації, особливої актуальності набуває формування єдиного інформаційного простору різних напрямів діяльності [1].…”

Section: експертне формування електронного глосаріюunclassified

Expert Formation of E-glossary

Nesterenko¹,

Netesin²

2022

Èlektron. model.

View full text Add to dashboard Cite

Section: експертне формування електронного глосаріюunclassified

Expert Formation of E-glossary

Nesterenko¹,

Netesin²

2022

Èlektron. model.

View full text Add to dashboard Cite

“…It is important that the ontology supports decision-making through the possibility of program-interpreted computer representation of knowledge. As a result, it adds intelligence to relevant information technologies in various fields [15].…”

Section: Literature Survey and Problem Statementmentioning

confidence: 99%

Graph-based decision making for varying complexity multicriteria problems

Nesterenko¹,

Netesin²,

Polischuk³

et al. 2022

CSJM

View full text Add to dashboard Cite

In the modern world in various spheres of activity, the number of problems that need multi-criteria decision-making (MCDM) is constantly increasing. Researchers and experts offer a number of approaches to MCDM process in such tasks; in particular, most of them are based on expert methods. However, in practice, these methods require significant intellectual effort of experts and organizational and technical workload during the expert survey, and also usually take a long time. At the same time, it is not always possible for experts to use certain characteristics of alternatives, which also carries the risk of making decisions based on unfounded expert opinions. Therefore, such methods and tools should be clear and informative and at the same time easy to use to ensure the efficiency and effectiveness of their use. We offer a graph-based approach to expert decision-making and information visualization processes that meets these requirements and can significantly improve the efficiency of decision-making in multi-criteria selection tasks.

show abstract

“…It is important that ontology provides decision-making support due to the possibility of a program-interpreted computer representation of knowledge about a specific DA. As a result, this contributes to the intellectualization of the relevant information technologies in various spheres [8,9].…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…rq qr a a are satisfied for all the elements of this matrix. If desired, an expert himself can also enter other numerical values from the interval [1][2][3][4][5][6][7][8][9] to the table cells.…”

Section: Conducting Reconnaissancementioning

confidence: 99%

Development of a procedure for expert estimation of capabilities in defense planning under multicriterial conditions

Nesterenko

Netesin²,

Polischuk³

et al. 2020

EEJET

Self Cite

View full text Add to dashboard Cite

Improving the decision-making efficiency in defense planning based on the capabilities of military forces and means for performing purposeful tasks requires new methodological approaches and their implementation in the form of software information-analytical tools. Given the complex information environment of defense planning, it is appropriate for the variants of capabilities development options to be chosen by experts on the methodological basis of multicriterial analysis. The research result is the development of a procedure, in which it is proposed to generate criteria and evaluate alternative options by integrating ontology, the Analytical Hierarchy Process, and the method of directed graphs. The ontological representation of the data ensures the construction of the hierarchical taxonomy of a domain and the formation of the criteria vector. The Analytical Hierarchy Process is used to conduct an expert evaluation of capabilities by their pairwise comparison against determined criteria. Experts' judgments are visualized and controlled using directed graphs. Application of the procedure will make it possible to ensure efficiency, versatility, and simplicity of technical implementation of a procedure of decision making support. The procedure was tested on the example of choosing a capability to conduct reconnaissance for the benefit of ground artillery. It was shown that the evaluation process in the expert activity is considerably simplified due to the graph visualization. The proposed procedure introduces an innovative tool to achieve strategic goals and accomplish the basic tasks of the defense reform, which is relevant for many countries. The versatility of the procedure creates the basis for its application not only in defense but also in other force departments

show abstract

Patterns in forming the ontology-based environment of information-analytical activity in administrative management

Cited by 11 publications

References 10 publications

Expert Formation of E-glossary

Expert Formation of E-glossary

Graph-based decision making for varying complexity multicriteria problems

Development of a procedure for expert estimation of capabilities in defense planning under multicriterial conditions

Contact Info

Product

Resources

About