Implementation of new hybrid evolutionary algorithm with fuzzy logic control approach for optimization problems

Afathi, Maan

doi:10.15587/1729-4061.2021.245222

Cited by 2 publications

(1 citation statement)

References 21 publications

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“…In addition, an analysis of the results obtained by other scientists in recent years was carried out with reference to specific publications [3][4][5][6][7][8][9][10][11][12], and:…”

Section: Main Materialsmentioning

confidence: 99%

Data collection and accumulation of media resources using artificial intelligence

Tsiutsiura,

Yerukaiev,

Khorolska

et al. 2023

MDCS

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In this difficult time in which our country found itself, information technology has become the force that is successfully used against the aggressive actions of the enemy. The armed forces, in addition to the necessary physical assistance, are quite significantly helped in the information sphere, in particular, from the side of the scientific community. Different directions and branches of computer science are combined to get an effective way to achieve the desired victory and the long-awaited peace and prosperity. In this article, the authors offer their vision in the implementation of technology for evaluating information coming from various media sources. For this, one of the most widely used areas of information technology – artificial intelligence – was involved in the research. As you know, AI includes a sufficiently wide and complete set of models and methods for working out various practical problems. In particular, the authors focused on "soft" calculations, that is, the use of neural networks, fuzzy sets, and genetic algorithms in combination with methods from another area of AI – intelligent data analysis. All the above-mentioned ideas are suggested to be considered in the rationale before creating a scientific project. In this article, foreign and domestic sources will be analyzed in detail in order to identify common and distinctive features with the author's ideas. Particular attention will be paid to those components that are not disclosed in other works and are proposed for development in this project. The object, the subject of research, the goal will also be indicated, the scientific and practical novelty of the implementation of the ideas disclosed in this work will be revealed. In addition, the advantages of using the proposed methods for solving not only the task of processing and evaluating information from various media sources will be described, but also the benefit of their application in other critical military tasks will be shown. Thus, the authors set themselves the goal of helping our defenders implement an approach based on the application of artificial intelligence. This article covers only proposals with their detailed scientific justification. So, summarizing all of the above, the work reveals a theoretical-applied approach at the level of revealing the basic ideas for creating a project. In the following works by the authors, after the presentation of the research base, more attention will be paid to already mathematical methods of description and coverage of the conducted experimental studies.

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“…In addition, an analysis of the results obtained by other scientists in recent years was carried out with reference to specific publications [3][4][5][6][7][8][9][10][11][12], and:…”

Section: Main Materialsmentioning

confidence: 99%

Data collection and accumulation of media resources using artificial intelligence

Tsiutsiura,

Yerukaiev,

Khorolska

et al. 2023

MDCS

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Exploring Fuzzy Logic as an Alternative Approach in Psychological Scoring

Kyriazos,

Poga

2024

TOPSYJ

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Introduction Accurate measurement is foundational to psychological assessments, influencing research validity, clinical practice, and societal applications. While extensively utilized, traditional scoring methods suffer from limitations in granularity, sensitivity, and adaptability, potentially impacting the precision and utility of these assessments. This study aims to explore the efficacy of fuzzy logic as an alternative scoring method for the Satisfaction with Life Scale (SWLS), addressing these limitations. Methods A cross-sectional design involving 1,230 Greek adults was employed to compare traditional scoring methods with fuzzy logic. Data were collected online and analyzed using descriptive statistics, Pearson correlation, paired t-tests, regression analysis, and sensitivity analysis to evaluate the robustness and reliability of fuzzy logic scoring. Results Results indicated that fuzzy logic scoring provides enhanced granularity and sensitivity, effectively capturing subtle variations in life satisfaction and mitigating ceiling and floor effects. The strong positive correlation (r = .9505) between traditional and fuzzy logic scores suggests high consistency. Significant mean differences highlighted the increased sensitivity of fuzzy logic scoring. The Bland-Altman plot confirmed good agreement between the methods, and sensitivity analysis demonstrated the robustness of fuzzy logic scoring across different parameter settings. Conclusion In conclusion, fuzzy logic offers a reliable and nuanced alternative to traditional scoring methods, significantly improving the accuracy and applicability of psychological assessments. Integrating fuzzy logic with advanced technologies could further enhance the precision and inclusivity of psychological evaluations, making it a promising tool for future psychological measurement.

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Implementation of new hybrid evolutionary algorithm with fuzzy logic control approach for optimization problems

Cited by 2 publications

References 21 publications

Data collection and accumulation of media resources using artificial intelligence

Data collection and accumulation of media resources using artificial intelligence

Exploring Fuzzy Logic as an Alternative Approach in Psychological Scoring

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