Assessment of regional development strategy in the context of economy digitization on the basis of fuzzy set method

Rytova, Elena; Gutman, Svetlana

doi:10.1088/1757-899x/497/1/012060

Cited by 7 publications

(6 citation statements)

References 2 publications

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“…e five metropolitan agglomerations collectively cover 993200 square kilometers. In Figure 1 [13], the specifics of the five metropolitan agglomerations are displayed. China's five largest urban agglomerations' population densities and per capita gross domestic product (GDP) are displayed in Table 1 for the year 2019.…”

Section: Overview Of Urban Agglomerationmentioning

confidence: 99%

Innovative Economic Development Path Using Double-Cycle New Pattern Data Discovery for Industrial Internet of Things

Zhang

2022

Mobile Information Systems

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The use of smart sensors and actuators to improve industrial and manufacturing processes is known as the industrial internet of things (IIoT). Innovative economic growth is one of the key elements required for the success of IIoT in contemporary industry. Innovation in IIoT is essential for fostering high-quality economic growth and achieving a competitive edge. This study aims to conduct in-depth research on the development path of an innovative economy based on data mining under the new pattern of double circulation in order to enhance industrial innovation capability, realize the modernization of the industrial chain, and accelerate the development of industrial innovation in IIoT. The first step is to use the five urban agglomerations for path analysis of innovative economic development. The five metropolitan agglomerations’ pertinent facts are provided, and their industrial structure’s composition and proportion as well as the input and output of innovation are all examined. We then constructed a model for analyzing the link between technological innovation and economic growth. The investigation of the innovative economic development path based on data mining is achieved using the Microsoft time series technique and the expectation-maximization algorithm to examine the data of innovative economic development. The experiment demonstrates that the method proposed in this study has strong data mining stability and ideal data clustering advantages. In IIoT, it can be used to effectively increase data mining’s efficiency and innovation capacity for the growth of a knowledge-based economy and creating a new pattern in which innovation and market growth are mutually reinforcing.

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Section: Overview Of Urban Agglomerationmentioning

confidence: 99%

Innovative Economic Development Path Using Double-Cycle New Pattern Data Discovery for Industrial Internet of Things

Zhang

2022

Mobile Information Systems

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“…All this undoubtedly affects the formation of a favorable environment for the adaptation and integration of migrants Rytova and Gutman 2019). Although there are no special activities in 2020 with regards to the work with host society on the formation of non-discriminative environment.…”

Section: Complimentary Copymentioning

confidence: 99%

Global Challenges of Digital Transformation of Markets Volume II

2022

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The Publisher has taken reasonable care in the preparation of this book, but makes no expressed or implied warranty of any kind and assumes no responsibility for any errors or omissions. No liability is assumed for incidental or consequential damages in connection with or arising out of information contained in this book. The Publisher shall not be liable for any special, consequential, or exemplary damages resulting, in whole or in part, from the readers' use of, or reliance upon, this material. Any parts of this book based on government reports are so indicated and copyright is claimed for those parts to the extent applicable to compilations of such works.

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“…Rytova and Gutman propose methods to address both tasks using modern tools, including balanced exponential systems adapted to regional development. He believed that the quality of innovative activities and human capital should be increased, creating effective conditional arrangements for regional development of socioeconomic systems, and innovative creation and development of the digital economy, and the formalization of strategic objective assessment using a fuzzy set method [3]. López et al believe that digitalization is a global phenomenon that affects all human activities.…”

Section: Introductionmentioning

confidence: 99%

Multisource Heterogeneous Data Fusion Analysis of Regional Digital Construction Based on Machine Learning

Jiang

2022

Journal of Sensors

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In modern urban construction, digitalization has become a trend, but the single source of information of traditional algorithms can not meet people’s needs, so the data fusion technology needs to draw estimation and judgment from multisource data to increase the confidence of data, improve reliability, and reduce uncertainty. In order to understand the influencing factors of regional digitalization, this paper conducts multisource heterogeneous data fusion analysis based on regional digitalization of machine learning, using decision tree and artificial neural network algorithm, compares the management efficiency and satisfaction of school population under different algorithms, and understands the data fusion and construction under different algorithms. According to the results, decision-making tree and artificial neural network algorithms were more efficient than traditional methods in building regional digitization, and their magnitude was about 60% higher. More importantly, the machine learning-based methods in multisource heterogeneous data fusion have been better than traditional calculation methods both in computational efficiency and misleading rate with respect to false alarms and missed alarms. This shows that machine learning methods can play an important role in the analysis of multisource heterogeneous data fusion in regional digital construction.

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Assessment of regional development strategy in the context of economy digitization on the basis of fuzzy set method

Cited by 7 publications

References 2 publications

Innovative Economic Development Path Using Double-Cycle New Pattern Data Discovery for Industrial Internet of Things

Innovative Economic Development Path Using Double-Cycle New Pattern Data Discovery for Industrial Internet of Things

Global Challenges of Digital Transformation of Markets Volume II

Multisource Heterogeneous Data Fusion Analysis of Regional Digital Construction Based on Machine Learning

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