EVALUATION OF THE INFLUENCE OF ENVIRONMENTAL FACTORS AND COGNITIVE PARAMETERS ON THE DECISION-MAKING PROCESS IN HUMAN-MACHINE SYSTEMS OF CRITICAL APPLICATION
DOI:
https://doi.org/10.15588/1607-3274-2024-1-7Keywords:
man-machine systems of critical application, decision making, decision making person, fuzzy cognitive models, environmental factors, working environment factors, relational cognitive modelsAbstract
Context. A feature of human-machine systems of critical application operating in real time is that they include as elements both technical systems and people interacting with these systems. At the same time, the main difficulties are associated not only with the improvement of hardware and software, but also with the insufficient development of methods for reliably predicting the impact of the production environment on the human factor and, as a result, on the relevance of decisions made by decision makers. As a result, the task of developing methods for determining the mutual influence of environmental factors and cognitive parameters of decision makers on the decision-making process becomes very relevant.
Objective. The aim of the work is to propose methodological foundations for the development and study of fuzzy hierarchical relational cognitive models to determine the influence of environmental factors and cognitive parameters of decision makers on the DMP.
Method. When building FHRCM methods of “soft computing”, methodologies of cognitive and fuzzy cognitive modeling were used, providing an acceptable formalization uncertainty of mutual influence of factors on the DMP.
Results. A fuzzy cognitive model based on a fuzzy Bayesian belief network has been developed, which makes it possible to draw a connection between qualitative and quantitative assessments of mutually influencing factors on the DMP. The proposed model makes it possible to probabilistically predict the influence of factors and choose rational ways of their interaction in the DMP.
Conclusions. The results of the experiments make it possible to recommend using the developed model, which takes into account the mutual influence of factors of various nature, including cognitive ones, in the DMP in order to improve the efficiency of HMSCA management as a whole.
References
Alvarenga M., Frutuoso P. A review of the cognitive basis for human reliability analysis, Progress in Nuclear Energy, 2019, Vol. 117(103050). DOI: 10.1016/j.pnucene.2019.103050
Deo N. Graph theory with applications to engineering and computer science. Courier Dover Publications, 2017, 496 р.
Gigerenzer G. Simply rational: Decision making in the real world. Evolution and Cognition. New York, Oxford University, 2015, 328 p. DOI:10.1093/acprof:oso/9780199390076.001.0001
Berdnik P. G., Kuchuk G. A., Kuchuk N. G., Obidin D. N., Pavlenko M. A., Petrov A. V., Rudenko V. N., Timochko O. I. Matematicheskie osnovy jergonomicheskih issledovanij: monografija. Kropivnickij, KLA NAU, 2016, 248 p.
Havlikova M., Jirgl M., Bradac Z. Human Reliability in ManMachine Systems, Procedia Engineering, 2015, Vol. 100, pp. 1207–1214. DOI: 10.1016/j.proeng.2015.01.485
Castillo E., Gutierrez J., Hadi A. Expert systems and probabilistic network models: project report (final): Castillo E. Springer Science & Business Media. New York, 2012, 597 p. DOI: 10.1007/978-1-4612-2270-5
Perederyi V., Borchik Eu., Lytvynenko V., Ohnieva O. Information Technology for Performance Assessment of Complex Multilevel Systems in Managing Technogenic Objects problem, CEUR Workshop Proceedings, 2020, Vol. 2805, pp. 175–188.
Alvarenga M., Frutuoso A., Melo P. A Review of the Cognitive Basis for Human Reliability Analysis, Progress in Nuclear Energy, 2019, Vol. 117, 103050. DOI: 10.1016/j.pnucene.2019.103050
Perederyi V., Borchik Eu., Ohnieva O. Information Technology for Decision Making Support and Monitoring in Man-Machine Systems for Managing Complex Technical Objects of Critical Application, Advances in Intelligent Systems and Computing, 2021, Vol. 1246, pp. 448–466. DOI: 10.1007/978-3/
Romanjuk A. O., Tymochko O. I., Marchenko Ju. M. Development of indicators to assess the quality of activity models automated command points operators, Military technical issues, 2020, № 1(61), pp. 60–66. DOI: 10.30748/soivt.2020.61.07
Perederyi V., Borchik E. Information technology for determination, assessment and correction of functional sustainability of the human-operator for the relevant decision-making in humanmachine critical application systems, Theoretical and practical aspects of the development of modern science: the experience of countries of Europe and prospects for Ukraine. Riga, Latvia, “Baltija Publishing”, 2019, pp. 490–509. DOI: 10.30525/9789934-571-78-7_57
De Maio C., Fenza G., Loia V., Orciuoli F. Linguistic fuzzy consensus model for collaborative development of fuzzy cognitive maps: a case study in software development risks, Fuzzy Optimization and Decision Making, 2017, Vol. 16, Iss. 4, pp. 463–479. DOI:10.1007/s10700-016-9259-3
Chen Z., Lan Y., Zhao R. Impacts of risk attitude and outside option on compensation contracts under different information structures, Fuzzy Optimization and Decision Making, 2018, Vol. 17, Iss. 1, pp. 13–47. DOI: 10.1007/s10700-016-9263-7
Lahno V. Information security of critical application data processing systems, Commission of motorization and energetics in agriculture, 2014, Vol. 14, № 1, pp. 134–143. DOI: 10.15587/1729-4061.2016.71769
Sharkо O., Marasanov V., Stepanchikov D. Technique of System Operator Determination Based on Acoustic Emission Method, Lecture Notes in Computational Intelligence and Decision Making. Advances in Intelligent System of Computing, 2020, Vol. 1246, pp. 3–22. DOI: 10.1007/978-3-030-54215-3
Perederyi V., Voronenko M., Borchik E., Krejci J. Information technology of operative formation and evaluation of relevant alternatives of decision-making in human-machine systems of critical application, CSIT-2018 Computer Science and Information Technology, XIII international scientific and technical conference, Lviv, 11–14 September 2018: proceedings. Los Alamitos, IEEE, 2018, pp. 33–36. DOI: 10.1109/STCCSIT.2018.8526750
Zosimov V., Bulgakova O. Calculation the Measure of Expert Opinions Consistency Based on Social Profile Using Inductive Algorithms, Advances in Intelligent Systems and Computing, 2020, Vol. 1020, pp. 622–636. DOI: 10.1007/978-3-030-264741_43
Mygal G., Mygal V. Іnterdisciplinary approach to the human factor problem, Municipal economy of cities, 2020, Vol. 3, pp. 149–157. DOI: 10.33042/2522-1809-2020-3-156-149-157
Castillo E., Gutierrez J. M., Hadi A. S. Expert systems and probabilistic network models, Springer Science & Business Media. New York, 2012. DOI: 10. 1007/978-1-4612-2270-5
Zosimov V., Bulgakova O. Web Data Displaying Approach Based on User’s Semantic Profile Templates, CSIT-2020 Computer Science and Information Technology, XX international scientific and technical conference, Lviv, proceedings. Los Alamitos, IEEE, 2020, pp. 428–431. DOI: 10.1109/CSIT49958.2020.9321839
Parasyuk I. N., Verevka O. V. Mathematical Foundations of Probabilistic Estimation in Fuzzy Bayesian Belief Networks, Cybernetics and System Analysis, 2016, Vol. 52, № 2, pp. 62– 67. DOI: 10.1007/s10559-016-9816-3
Halliwell J., Keppens J., Shen Q. Linguistic Bayesian networks for reasoning withsubjective probabilities in forensic statistics, AI and Law : 9th International Conference, Scotland United Kingdom, 24–28 June. NY, 2003, pp. 42–50. DOI: 10.1145/1047788.1047795
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 V. I. Perederyi, E. Y. Borchik, V. V. Zosimov, O. S. Bulgakova
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Creative Commons Licensing Notifications in the Copyright Notices
The journal allows the authors to hold the copyright without restrictions and to retain publishing rights without restrictions.
The journal allows readers to read, download, copy, distribute, print, search, or link to the full texts of its articles.
The journal allows to reuse and remixing of its content, in accordance with a Creative Commons license СС BY -SA.
Authors who publish with this journal agree to the following terms:
-
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License CC BY-SA that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
-
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
-
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
