Calculation the Measure of Expert Opinions Consistency Based on Social Profile Using Inductive Algorithms

Zosimov, Viacheslav; Bulgakova, Oleksandra

doi:10.1007/978-3-030-26474-1_43

Cited by 5 publications

(2 citation statements)

References 6 publications

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“…Determination of the functional dependence of the effectiveness of multi-level systems of critical purpose on the influence of external factors and the fuzzy risk of making inadequate decisions by the decision maker, as well as the construction of fuzzy cognitive models of DMP under conditions of fuzzy risk is considered in [13][14][15][16][17] In [18][19][20] the development of mathematical models and algorithms for determining and evaluating the optimal influence of external factors of the working environments on the cognitive state of decision makers.…”

Section: Review Of the Literaturementioning

confidence: 99%

Evaluation of the Influence of Environmental Factors and Cognitive Parameters on the Decision-Making Process in Human-Machine Systems of Critical Application

Perederyi,

Borchik,

Zosimov

et al. 2024

RIC

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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.

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Section: Review Of the Literaturementioning

confidence: 99%

Evaluation of the Influence of Environmental Factors and Cognitive Parameters on the Decision-Making Process in Human-Machine Systems of Critical Application

Perederyi,

Borchik,

Zosimov

et al. 2024

RIC

View full text Add to dashboard Cite

show abstract

“…This approach assumes that the relevance assessment task can also be considered as a classification task. Each document belongs to one of two non-intersecting areas: C 1 -relevant documents, C 2irrelevant documents [7].…”

Section: Evaluating Document Relevancementioning

confidence: 99%

Probabilistic Approach to Ranking Search Results Using Bayesian Belief Networks

Zosimov¹

2023

Kibern. vyčisl. teh.

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Introduction. This paper proposes a probabilistic approach to ranking search results using Bayesian Belief Networks (BBN). The proposed approach utilizes BBN to model the relationships between search queries, web pages, and user feedback, and to calculate the probability of a web page being relevant to a specific query. The approach takes into account various factors, such as keywords, page relevance, domain authority, and user feedback to generate a ranking score for each search result.The purpose of the paper is to conduct an analysis on the feasibility of creating a search engine that uses BBNs and probabilistic ranking methods for improving the accuracy and efficiency of search results.Results. The proposed approach was evaluated on a real-world dataset, and the results showed its effectiveness. Overall, the results suggest that the use of BBNs can provide a promising approach to enhancing search engine performance and user experience. The approach's effectiveness is attributed to its ability to model and reason about uncertainty and dependencies among variables, and its consideration of various factors, such as keywords, page relevance, domain authority, and user feedback. Conclusions.The proposed method has the potential to improve search relevance, reduce user frustration, and increase user satisfaction. However, further research is needed to optimize the proposed approach and to explore its applicability in different contexts. Overall, the study suggests that BBNs can provide a valuable tool for developing more effective and user-friendly search engines. Moreover, the use of Sphinx as a base search system shows promise in enabling the proposed approach to be integrated into practical search systems. Nonetheless, further research is needed to optimize the approach and evaluate its applicability in different contexts.

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Assessment and Support of Critical Multilevel Infrastructure Security Using Information and Cognitive Technologies

Perederyi,

Borchik,

Zosimov

et al. 2024

Lecture Notes on Data Engineering and Communications Technologies

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Calculation the Measure of Expert Opinions Consistency Based on Social Profile Using Inductive Algorithms

Cited by 5 publications

References 6 publications

Evaluation of the Influence of Environmental Factors and Cognitive Parameters on the Decision-Making Process in Human-Machine Systems of Critical Application

Evaluation of the Influence of Environmental Factors and Cognitive Parameters on the Decision-Making Process in Human-Machine Systems of Critical Application

Probabilistic Approach to Ranking Search Results Using Bayesian Belief Networks

Assessment and Support of Critical Multilevel Infrastructure Security Using Information and Cognitive Technologies

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