Pub Date : 2023-09-20DOI: 10.20965/jaciii.2023.p0748
Luyi Shen, Zeyang Li
In China’s evolving market economy, household asset diversification and refinement have raised concerns about asset selection and rationalization for financial market development. Our research investigates the impact of individual heterogeneity factors, such as the “Big Three” personality traits and cognitive abilities, on household asset allocation behaviors, expanding upon the traditional focus on risky financial assets and the “Big Five” personality traits. We utilize data from the 2018 China Family Panel Studies and employ logistic and hurdle models to examine the breadth of household asset holdings. We utilize two-part models to explore the depth of household asset holdings. Our findings reveal the impact of different personality traits and cognitive abilities on the depth and breadth of different household assets. This study offers a more comprehensive understanding of household asset selection by considering various asset types and individual heterogeneity factors.
{"title":"The Impact of Individual Heterogeneity on Household Asset Choice: An Empirical Study Based on China Family Panel Studies","authors":"Luyi Shen, Zeyang Li","doi":"10.20965/jaciii.2023.p0748","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0748","url":null,"abstract":"In China’s evolving market economy, household asset diversification and refinement have raised concerns about asset selection and rationalization for financial market development. Our research investigates the impact of individual heterogeneity factors, such as the “Big Three” personality traits and cognitive abilities, on household asset allocation behaviors, expanding upon the traditional focus on risky financial assets and the “Big Five” personality traits. We utilize data from the 2018 China Family Panel Studies and employ logistic and hurdle models to examine the breadth of household asset holdings. We utilize two-part models to explore the depth of household asset holdings. Our findings reveal the impact of different personality traits and cognitive abilities on the depth and breadth of different household assets. This study offers a more comprehensive understanding of household asset selection by considering various asset types and individual heterogeneity factors.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136263555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-20DOI: 10.20965/jaciii.2023.p0923
Yu Liu, Yumeng Chen, Yu Gong, Guoxin Zhao
A three-dimensional (3D) loading device based on a pneumatic 3-universal-prismatic-universal (UPU) parallel manipulator (three chains with UPU joint each) is designed to apply time-varying multi-dimensional loads to a target. First, according to the principle of vector superposition and Newton–Raphson method, the inverse and forward kinematics of the loading device are analyzed. Second, based on the screw theory, the static mapping between the dynamic platform and actuations is derived. Third, a second-order mathematical model is established for pneumatic 3-UPU parallel mechanism based on proportional flow valve and a metal seal pneumatic cylinder. A referential inaccurate model is provided for the control algorithm during modeling. Fourth, based on active disturbance rejection control (ADRC) technique, a 3D loading control algorithm is proposed and dynamic loading control is realized. Experimental results show that the ADRC algorithm has good robustness against disturbances, the steady-state control accuracy is less than 2 N, and the mean square error in dynamic tracking (sinusoidal tracking at 0.2 Hz) is less than 10.5 N.
{"title":"Research on Active Disturbance Rejection Algorithm for Loading Control of 3-DOF Parallel Robot","authors":"Yu Liu, Yumeng Chen, Yu Gong, Guoxin Zhao","doi":"10.20965/jaciii.2023.p0923","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0923","url":null,"abstract":"A three-dimensional (3D) loading device based on a pneumatic 3-universal-prismatic-universal (UPU) parallel manipulator (three chains with UPU joint each) is designed to apply time-varying multi-dimensional loads to a target. First, according to the principle of vector superposition and Newton–Raphson method, the inverse and forward kinematics of the loading device are analyzed. Second, based on the screw theory, the static mapping between the dynamic platform and actuations is derived. Third, a second-order mathematical model is established for pneumatic 3-UPU parallel mechanism based on proportional flow valve and a metal seal pneumatic cylinder. A referential inaccurate model is provided for the control algorithm during modeling. Fourth, based on active disturbance rejection control (ADRC) technique, a 3D loading control algorithm is proposed and dynamic loading control is realized. Experimental results show that the ADRC algorithm has good robustness against disturbances, the steady-state control accuracy is less than 2 N, and the mean square error in dynamic tracking (sinusoidal tracking at 0.2 Hz) is less than 10.5 N.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136264994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-20DOI: 10.20965/jaciii.2023.p0866
Fengtao Hua, Rui Tang, Xin Leng
In response to escalating environmental uncertainty, corporate executives typically adjust their business strategy between diversification and refocusing. This study examines the effect of environmental uncertainty on idiosyncratic risk, as well as the moderating impact of diversification on this relationship. Utilizing a sample of companies listed on the Chinese stock market from 2005 to 2019, the results suggest that a significant positive correlation exists between uncertainty and idiosyncratic risk. As environmental uncertainty escalates, corporate managers increasingly opt for diversification before eventually refocusing their business strategy. Furthermore, while moderate diversification can mitigate the impact of uncertainty on idiosyncratic risk, excessive diversification intensifies this correlation. This research holds considerable significance for understanding the influence mechanism of idiosyncratic risk and ensuring the stability of the capital market.
{"title":"Environmental Uncertainty and Idiosyncratic Risk: The Dual Role of Diversification Strategy","authors":"Fengtao Hua, Rui Tang, Xin Leng","doi":"10.20965/jaciii.2023.p0866","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0866","url":null,"abstract":"In response to escalating environmental uncertainty, corporate executives typically adjust their business strategy between diversification and refocusing. This study examines the effect of environmental uncertainty on idiosyncratic risk, as well as the moderating impact of diversification on this relationship. Utilizing a sample of companies listed on the Chinese stock market from 2005 to 2019, the results suggest that a significant positive correlation exists between uncertainty and idiosyncratic risk. As environmental uncertainty escalates, corporate managers increasingly opt for diversification before eventually refocusing their business strategy. Furthermore, while moderate diversification can mitigate the impact of uncertainty on idiosyncratic risk, excessive diversification intensifies this correlation. This research holds considerable significance for understanding the influence mechanism of idiosyncratic risk and ensuring the stability of the capital market.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136264999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-20DOI: 10.20965/jaciii.2023.p0942
Itaru Kaneko, Le Trieu Phong, Keita Emura, Emi Yuda
Differential privacy is a powerful technique that protects the privacy of individuals in a dataset by adding controlled randomness. With the increasing developments in smart sensors, the use of various biometric database is expanding. If privacy protections coexist with advanced use of the biometric database, wider utilization is expected. One of the promising approaches is to apply differential privacy to biometric information, which is attracting attention in use cases such as Google. By adding Laplace noise to biometric information, differential privacy can be added. Our aim is to focus on peak to peak interval of electrocardiogram. It is useful bio-information because it is possible to know not only heart disease but also various physical conditions such as exercise amount, activity amount, fatigue, sleep based on it. In this study, we demonstrated that differential privacy can be applied to obtain the sleep apnea index from PPIs with Laplace noise. The observed correlations were 0.96 to 0.99 for the corresponding PPIs with Laplace noise.
{"title":"Can Sleep Apnea Be Detected from Human Pulse Waveform with Laplace Noise?","authors":"Itaru Kaneko, Le Trieu Phong, Keita Emura, Emi Yuda","doi":"10.20965/jaciii.2023.p0942","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0942","url":null,"abstract":"Differential privacy is a powerful technique that protects the privacy of individuals in a dataset by adding controlled randomness. With the increasing developments in smart sensors, the use of various biometric database is expanding. If privacy protections coexist with advanced use of the biometric database, wider utilization is expected. One of the promising approaches is to apply differential privacy to biometric information, which is attracting attention in use cases such as Google. By adding Laplace noise to biometric information, differential privacy can be added. Our aim is to focus on peak to peak interval of electrocardiogram. It is useful bio-information because it is possible to know not only heart disease but also various physical conditions such as exercise amount, activity amount, fatigue, sleep based on it. In this study, we demonstrated that differential privacy can be applied to obtain the sleep apnea index from PPIs with Laplace noise. The observed correlations were 0.96 to 0.99 for the corresponding PPIs with Laplace noise.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136264990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-20DOI: 10.20965/jaciii.2023.p0976
Mizuki Fujita, Yuchi Kanzawa
Various fuzzy clustering algorithms have been proposed for vectorial data. However, most of these methods have not been applied to series data. This study presents three fuzzy clustering algorithms for series data based on shape-based distances. The first algorithm involves Shannon entropy regularization of the k-shape objective function. The second algorithm is similar to the revised Bezdek-type fuzzy c -means algorithm obtained by replacing the membership of the hard c -means objective function with its power. The third algorithm involves Tsallis entropy regularization of the objective function of the second algorithm. Theoretical observations revealed that the third algorithm is a generalization of the first and second algorithms, which was validated by numerical experiments. Furthermore, numerical experiments were performed using 11 benchmark datasets to demonstrate that the third algorithm outperforms the others in terms of accuracy.
{"title":"Three Fuzzy <i>c</i>-Shapes Clustering Algorithms for Series Data","authors":"Mizuki Fujita, Yuchi Kanzawa","doi":"10.20965/jaciii.2023.p0976","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0976","url":null,"abstract":"Various fuzzy clustering algorithms have been proposed for vectorial data. However, most of these methods have not been applied to series data. This study presents three fuzzy clustering algorithms for series data based on shape-based distances. The first algorithm involves Shannon entropy regularization of the k-shape objective function. The second algorithm is similar to the revised Bezdek-type fuzzy c -means algorithm obtained by replacing the membership of the hard c -means objective function with its power. The third algorithm involves Tsallis entropy regularization of the objective function of the second algorithm. Theoretical observations revealed that the third algorithm is a generalization of the first and second algorithms, which was validated by numerical experiments. Furthermore, numerical experiments were performed using 11 benchmark datasets to demonstrate that the third algorithm outperforms the others in terms of accuracy.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136264992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The field of human motion capture technology represents an emergent and multifaceted domain that encapsulates various disciplines, including but not limited to computer graphics, ergonomics, and communication technology. A distinct network platform within its domain has been established to ensure the reliability and stability of data transmission. Moreover, a sink node has been configured to facilitate sensor data reception through two distinct channels. Notably, the simplicity of the measurement system is directly proportional to the limited number of sensors used. This study focuses on accurately estimating uncertain human 3D movements via a sparse arrangement of wearable inertial sensors, utilizing only six sensors within the system. The methodology is based on a time series sequence throughout the motion process, wherein a series of discontinuous actions constitute the sequential motion. Deep learning methodologies, specifically recurrent neural networks, were employed to refine the regression parameters. Our approach integrated both historical and present sensor data to forecast future sensor data. These data were amalgamated into a superposed input vector, which was fed back into a shallow neural network to estimate human motion. Our experimental results demonstrate the viability of this approach: the six sensors could accurately replicate representative poses. This finding carries significant implications for advancing and applying wearable devices within the realm of motion capture, offering the potential for widespread adoption and implementation.
{"title":"Human Motion Capture and Recognition Based on Sparse Inertial Sensor","authors":"Huailiang Xia, Xiaoyan Zhao, Yan Chen, Tianyao Zhang, Yuguo Yin, Zhaohui Zhang","doi":"10.20965/jaciii.2023.p0915","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0915","url":null,"abstract":"The field of human motion capture technology represents an emergent and multifaceted domain that encapsulates various disciplines, including but not limited to computer graphics, ergonomics, and communication technology. A distinct network platform within its domain has been established to ensure the reliability and stability of data transmission. Moreover, a sink node has been configured to facilitate sensor data reception through two distinct channels. Notably, the simplicity of the measurement system is directly proportional to the limited number of sensors used. This study focuses on accurately estimating uncertain human 3D movements via a sparse arrangement of wearable inertial sensors, utilizing only six sensors within the system. The methodology is based on a time series sequence throughout the motion process, wherein a series of discontinuous actions constitute the sequential motion. Deep learning methodologies, specifically recurrent neural networks, were employed to refine the regression parameters. Our approach integrated both historical and present sensor data to forecast future sensor data. These data were amalgamated into a superposed input vector, which was fed back into a shallow neural network to estimate human motion. Our experimental results demonstrate the viability of this approach: the six sensors could accurately replicate representative poses. This finding carries significant implications for advancing and applying wearable devices within the realm of motion capture, offering the potential for widespread adoption and implementation.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136265001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-20DOI: 10.20965/jaciii.2023.p0761
Weize Xiao
Economic downturns have increased in recent years, and the impact of COVID-19 has slowed economic growth. The market’s overall pessimism led to a contraction in the government’s fiscal revenue. The Chinese economy has always relied on government investments. Local governments’ productive investments have directly contributed to capital formation, which has promoted rapid economic growth. With the increase in expenditure pressure and the tightening of income caliber, will the continuous growth of the proportion of public service expenditure affect the established growth goals and hinder the efficiency of economic growth? This study explains this based on a general equilibrium model containing two types of government expenditure and uses China’s 2010–2019 provincial panel data for the empirical analysis. The results show that, in the current economic situation, increasing the proportion of public service expenditure is conducive to further economic growth.
{"title":"Does Increasing Public Service Expenditure Slow the Long-Term Economic Growth Rate?—Evidence from China","authors":"Weize Xiao","doi":"10.20965/jaciii.2023.p0761","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0761","url":null,"abstract":"Economic downturns have increased in recent years, and the impact of COVID-19 has slowed economic growth. The market’s overall pessimism led to a contraction in the government’s fiscal revenue. The Chinese economy has always relied on government investments. Local governments’ productive investments have directly contributed to capital formation, which has promoted rapid economic growth. With the increase in expenditure pressure and the tightening of income caliber, will the continuous growth of the proportion of public service expenditure affect the established growth goals and hinder the efficiency of economic growth? This study explains this based on a general equilibrium model containing two types of government expenditure and uses China’s 2010–2019 provincial panel data for the empirical analysis. The results show that, in the current economic situation, increasing the proportion of public service expenditure is conducive to further economic growth.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136263557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-20DOI: 10.20965/jaciii.2023.p0780
Dan Tang, Jiangying Wei
Objective: An interpretability model of enterprise digital transformation that integrates XGBoost and Shapley additive explanations (SHAP) is proposed to accurately identify the important factors that affect the digital transformation of enterprises and their mode of action, improve the digital capabilities and levels of enterprises, and prevent the risks of digital transformation of enterprises. Method: The annual report information of listed companies from 2009 to 2021 is used as the research object. First, the digital transformation index is constructed using the text mining method. Second, an enterprise digital transformation prediction model based on XGBoost is constructed and compared it with other mainstream algorithms, such as linear regression and random forest, to find a comprehensive optimal model. Finally, the SHAP interpretation framework is introduced to quantify and attribute the importance of each characteristic variable. Results: The results found that the XGBoost model outperformed the compared models in the mean absolute error and R 2 performance indicators. In addition, development capability, comprehensive capability, and solvency are important characteristics influencing the digital transformation of enterprises, and they differ in the way, direction, and strength of influence on the digital transformation of enterprises. Research value: This paper applies XGBoost integrated learning method to identify the factors of enterprise digital transformation, which enables enterprises to assess their digital transformation status, discover the key determinants of digital transformation, and adopt effective digital transformation modes for higher value.
{"title":"Prediction and Characteristic Analysis of Enterprise Digital Transformation Integrating XGBoost and SHAP","authors":"Dan Tang, Jiangying Wei","doi":"10.20965/jaciii.2023.p0780","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0780","url":null,"abstract":"Objective: An interpretability model of enterprise digital transformation that integrates XGBoost and Shapley additive explanations (SHAP) is proposed to accurately identify the important factors that affect the digital transformation of enterprises and their mode of action, improve the digital capabilities and levels of enterprises, and prevent the risks of digital transformation of enterprises. Method: The annual report information of listed companies from 2009 to 2021 is used as the research object. First, the digital transformation index is constructed using the text mining method. Second, an enterprise digital transformation prediction model based on XGBoost is constructed and compared it with other mainstream algorithms, such as linear regression and random forest, to find a comprehensive optimal model. Finally, the SHAP interpretation framework is introduced to quantify and attribute the importance of each characteristic variable. Results: The results found that the XGBoost model outperformed the compared models in the mean absolute error and R 2 performance indicators. In addition, development capability, comprehensive capability, and solvency are important characteristics influencing the digital transformation of enterprises, and they differ in the way, direction, and strength of influence on the digital transformation of enterprises. Research value: This paper applies XGBoost integrated learning method to identify the factors of enterprise digital transformation, which enables enterprises to assess their digital transformation status, discover the key determinants of digital transformation, and adopt effective digital transformation modes for higher value.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136263558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-20DOI: 10.20965/jaciii.2023.p0739
Yanwu Chen, Haiming Ding, Jun Ma
The development of the digital economy in the modern era significantly embodies a country’s comprehensive strength. This paper uses the data from China’s 2012 and 2017 input-output tables to analyze the linkage structure between the digital economy industry and other industries using the average propagation length model and social network analysis. The Weaver–Thomas model was used to obtain the industrial linkage matrix and network characteristics. An industrial chain map of the digital economy was depicted as the core. This paper is of practical significance in depicting the industrial chain structure and network characteristics, understanding the position of digital economy industry in the economic system and promoting the integrated development of the digital economy and traditional manufacturing industries, which allows them to incorporate the new generation of technology and industrial transformation with the digital technology as the core to promote their transformation and upgrading.
{"title":"Industrial Chain Map and Linkage Network Characteristics of Digital Economy","authors":"Yanwu Chen, Haiming Ding, Jun Ma","doi":"10.20965/jaciii.2023.p0739","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0739","url":null,"abstract":"The development of the digital economy in the modern era significantly embodies a country’s comprehensive strength. This paper uses the data from China’s 2012 and 2017 input-output tables to analyze the linkage structure between the digital economy industry and other industries using the average propagation length model and social network analysis. The Weaver–Thomas model was used to obtain the industrial linkage matrix and network characteristics. An industrial chain map of the digital economy was depicted as the core. This paper is of practical significance in depicting the industrial chain structure and network characteristics, understanding the position of digital economy industry in the economic system and promoting the integrated development of the digital economy and traditional manufacturing industries, which allows them to incorporate the new generation of technology and industrial transformation with the digital technology as the core to promote their transformation and upgrading.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136263559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In graph theory, the concept of domination is essential in a variety of domains. It has broad applications in diverse fields such as coding theory, computer network models, and school bus routing and facility location problems. If a fuzzy graph fails to obtain acceptable results, neutrosophic sets and neutrosophic graphs can be used to model uncertainty correlated with indeterminate and inconsistent information in arbitrary real-world scenario. In this study, we consider the concept of domination as it relates to single-valued neutrosophic incidence graphs (SVNIGs). Given the importance of domination and its utilization in numerous fields, we propose the application of dominating sets in SVNIG with valid edges. We present some relevant definitions such as those of valid edges, cardinality, and isolated vertices in SVNIG along with some examples. Furthermore, we also show a few significant sets connected to the dominating set in an SVNIG such as independent and irredundant sets. We also investigate a relationship between the concepts of dominating sets and domination numbers as well as irredundant and independence sets in SVNIGs. Finally, a real-life deployment of domination in SVNIGs is investigated in relation to COVID-19 vaccination locations as a practical application.
{"title":"Novel Concepts on Domination in Neutrosophic Incidence Graphs with Some Applications","authors":"Siti Nurul Fitriah Mohamad, Roslan Hasni, Florentin Smarandache","doi":"10.20965/jaciii.2023.p0837","DOIUrl":"https://doi.org/10.20965/jaciii.2023.p0837","url":null,"abstract":"In graph theory, the concept of domination is essential in a variety of domains. It has broad applications in diverse fields such as coding theory, computer network models, and school bus routing and facility location problems. If a fuzzy graph fails to obtain acceptable results, neutrosophic sets and neutrosophic graphs can be used to model uncertainty correlated with indeterminate and inconsistent information in arbitrary real-world scenario. In this study, we consider the concept of domination as it relates to single-valued neutrosophic incidence graphs (SVNIGs). Given the importance of domination and its utilization in numerous fields, we propose the application of dominating sets in SVNIG with valid edges. We present some relevant definitions such as those of valid edges, cardinality, and isolated vertices in SVNIG along with some examples. Furthermore, we also show a few significant sets connected to the dominating set in an SVNIG such as independent and irredundant sets. We also investigate a relationship between the concepts of dominating sets and domination numbers as well as irredundant and independence sets in SVNIGs. Finally, a real-life deployment of domination in SVNIGs is investigated in relation to COVID-19 vaccination locations as a practical application.","PeriodicalId":45921,"journal":{"name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136264998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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