Hazards and risks in assessing the impact of oil and gas companies on the environment

Khvostina, Inesa; Oliinyk, Viktor; Семеріков, Сергій Олексійович; Solovieva, V. I.; Yatsenko, Valerii; Kohut-Ferens, Oksana

doi:10.1088/1755-1315/628/1/012027

Cited by 6 publications

(3 citation statements)

References 36 publications

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“…Models based on fuzzy logic are more flexible, as they mostly allow taking into account the experience and intuition of a specialist in a particular field. They are more adequate to the simulated reality and make it possible to obtain a solution correlated in accuracy with the initial data [20].…”

Section: Methodsmentioning

confidence: 99%

Simulation of intellectual system for evaluation of multilevel test tasks on the basis of fuzzy logic

et al. 2021

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The article describes the stages of modeling an intelligent system for evaluating multilevel test tasks based on fuzzy logic in the MATLAB application package, namely the Fuzzy Logic Toolbox. The analysis of existing approaches to fuzzy assessment of test methods, their advantages and disadvantages is given. The considered methods for assessing students are presented in the general case by two methods: using fuzzy sets and corresponding membership functions; fuzzy estimation method and generalized fuzzy estimation method. In the present work, the Sugeno production model is used as the closest to the natural language. This closeness allows for closer interaction with a subject area expert and build well-understood, easily interpreted inference systems. The structure of a fuzzy system, functions and mechanisms of model building are described. The system is presented in the form of a block diagram of fuzzy logical nodes and consists of four input variables, corresponding to the levels of knowledge assimilation and one initial one. The surface of the response of a fuzzy system reflects the dependence of the final grade on the level of difficulty of the task and the degree of correctness of the task. The structure and functions of the fuzzy system are indicated. The modeled in this way intelligent system for assessing multilevel test tasks based on fuzzy logic makes it possible to take into account the fuzzy characteristics of the test: the level of difficulty of the task, which can be assessed as “easy”, “average", “above average”, “difficult”; the degree of correctness of the task, which can be assessed as “correct”, “partially correct”, “rather correct”, “incorrect”; time allotted for the execution of a test task or test, which can be assessed as “short”, “medium”, “long”, “very long”; the percentage of correctly completed tasks, which can be assessed as “small”, “medium”, “large”, “very large”; the final mark for the test, which can be assessed as “poor”, “satisfactory”, “good”, “excellent”, which are included in the assessment. This approach ensures the maximum consideration of answers to questions of all levels of complexity by formulating a base of inference rules and selection of weighting coefficients when deriving the final estimate. The robustness of the system is achieved by using Gaussian membership functions. The testing of the controller on the test sample brings the functional suitability of the developed model.

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Section: Methodsmentioning

confidence: 99%

Simulation of intellectual system for evaluation of multilevel test tasks on the basis of fuzzy logic

et al. 2021

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“…xvii This article highlights further research by the authors, begun in [16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33]. The focus of the article "Irreversibility of financial time series: a case of crisis" [34] by Andrii O. Bielinskyi, Serhii V. Hushko (figure 5), Andriy V. Matviychuk, Oleksandr A. Serdyuk, Serhiy O. Semerikov and Vladimir N. Soloviev to measure the varying irreversibility of stock markets.…”

Section: Articles Overviewmentioning

confidence: 96%

Machine learning for prediction of emergent economy dynamics

Ків¹,

Соловйов²,

Семеріков³

et al. 2021

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“…al. [29] do the same in ecology, through the construction of an integral risk indicator, while Koibichuk et al [30] tackle the development of cyber fraud and the need to develop innovative technologies to combat them. Vasudevan and Aslan [31] focus on the field of services, and the impact of marketing technologies on its development, while Hanulakova et al [32] do this in the medical field, which has probably undergone the most challenges and changes.…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of COVID-19 on the national development of countries: Implications for the public health

et al. 2023

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The article focuses on measuring the fluctuations in countries’ development as a result of the COVID-19 pandemic. The obtained measures make it possible to predict the extent of the impact of risks to public health on the economy, financial-budgetary, political-institutional development of states in the future, as well as the social determinants of public health. This assessment represents a new paradigm that makes it possible to effectively evaluate the manifestations of the consequences of COVID-19 and to identify the relevant determinants of the lack of resilience of the medical and social security systems to the coronavirus pandemic around the world. We picked the determinant of national development indicators of the 59 countries in order to measure the fluctuations in their economic development. In addition, we applied the binary response model for identifying the economic, financial-budgetary, and political-institutional development change with the happiness index of the countries being the dependent variable. The analysis of our empirical model made it possible for us to conclude that economic and financial-budgetary components have significantly increased the influence on well-being during the COVID-19 pandemic. In contrast, we observed the decrease in the impact of political and institutional indicators during the same period.

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Hazards and risks in assessing the impact of oil and gas companies on the environment

Cited by 6 publications

References 36 publications

Simulation of intellectual system for evaluation of multilevel test tasks on the basis of fuzzy logic

Simulation of intellectual system for evaluation of multilevel test tasks on the basis of fuzzy logic

Machine learning for prediction of emergent economy dynamics

Impact of COVID-19 on the national development of countries: Implications for the public health

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