Journal of Systems Science and Information最新文献_第3页

Statistical Inference for a Simple Step Stress Model with Competing Risks Based on Generalized Type-I Hybrid Censoring 基于广义i型混合滤波的具有竞争风险的简单阶跃应力模型的统计推断

Journal of Systems Science and Information Pub Date : 2021-10-01 DOI: 10.21078/JSSI-2021-533-16

S. Mao, Bin Liu, Yimin Shi

引用次数: 1

Study on Pollution Cost Control Model under Asymmetric Information Based on Principal Agent 基于委托代理的不对称信息下污染成本控制模型研究

Journal of Systems Science and Information Pub Date : 2021-10-01 DOI: 10.21078/JSSI-2021-549-09

Lina Wang, K. Milis, S. Poelmans

{"title":"Study on Pollution Cost Control Model under Asymmetric Information Based on Principal Agent","authors":"Lina Wang, K. Milis, S. Poelmans","doi":"10.21078/JSSI-2021-549-09","DOIUrl":"https://doi.org/10.21078/JSSI-2021-549-09","url":null,"abstract":"Abstract Pollution cost control is key to solve pollution problem. The paper takes pollution control cost of pollution control contract between management authority and pollutant discharge enterprise as research object, considers pollution control quality level, pollution control quality inspection and pollution control cost model, and establishes pollution control cost model of management authority and pollutant discharge enterprise, including rational constraints of pollutant discharge enterprise. And it analyzes principal-agent relationship between the two under condition of asymmetric information, and un-observability of pollution control level is shown as hiding information of sewage enterprises. In essence, it is problem of adverse selection in principal-agent. Pollution control cost of management is objective function. The first order condition of pollution control cost of sewage enterprise is transformed into state space equation, and optimal control of problem is solved by using maximum principle. In particular, management authority, as principal, uses pollution control provisions to reward, punish and encourage pollutant discharge enterprises as agents.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114822953","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}

引用次数: 0

The Dynamic Impact of Structural Oil Price Shocks on the Macroeconomy 结构性油价冲击对宏观经济的动态影响

Journal of Systems Science and Information Pub Date : 2021-10-01 DOI: 10.21078/JSSI-2021-469-29

Ping Li, Jie Li, Ziyi Zhang

引用次数: 1

The Effect of Green Technology Adoption Strategy on Duopoly Competition 绿色技术采用策略对双寡头竞争的影响

Journal of Systems Science and Information Pub Date : 2021-10-01 DOI: 10.21078/JSSI-2021-498-21

Chenglin Shen, Xinxin Zhang

{"title":"The Effect of Green Technology Adoption Strategy on Duopoly Competition","authors":"Chenglin Shen, Xinxin Zhang","doi":"10.21078/JSSI-2021-498-21","DOIUrl":"https://doi.org/10.21078/JSSI-2021-498-21","url":null,"abstract":"Abstract Given consumers’ trade-offs between conventional economic and environmental attributes of products, we provide a game-theoretic model to explore the role of GTA strategy in duopoly competition by incorporating two salient features: Two product types — The green product produced by a firm with GTA strategy and the ordinary product produced by a firm without GTA strategy, and two consumer segments, i.e., the green consumers who are willing to pay for green products and the ordinary consumers who are willing to pay for ordinary products. Our analysis shows that GTA strategy may either increase or decrease the green firm’s quality provision. The subtle relationship between the green firm’s quality strategy and GTA strategy not only affects its own equilibrium performances but its rival’s. We also find that two consumer segments may be better off in the presence of a lower GTA intensity. Additionally, although the GTA strategy benefits the environment, the GTA investment is not the more the better. Finally, we find that GTA strategy would lead to higher social welfare only when the GTA efficiency is high enough. Our work not only provides an alternative economic explanation why some firms choose to implement GTA strategy and some do not in reality, but gives managerial insights for firms with different GTA strategies as well as policy insights for the social planner.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124052978","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}

引用次数: 1

Measuring the Imbalance of Regional Development from Outer Space in China 从外太空测度中国区域发展不平衡

Journal of Systems Science and Information Pub Date : 2021-10-01 DOI: 10.21078/JSSI-2021-519-14

Shengxia Xu, Qiang Liu, Xiaoli Lu

引用次数: 0

Topic-Feature Lattices Construction and Visualization for Dynamic Topic Number 动态主题数的主题特征格构建与可视化

Journal of Systems Science and Information Pub Date : 2021-10-01 DOI: 10.21078/JSSI-2021-558-17

Kai Wang, Fuzhi Wang

{"title":"Topic-Feature Lattices Construction and Visualization for Dynamic Topic Number","authors":"Kai Wang, Fuzhi Wang","doi":"10.21078/JSSI-2021-558-17","DOIUrl":"https://doi.org/10.21078/JSSI-2021-558-17","url":null,"abstract":"Abstract The topic recognition for dynamic topic number can realize the dynamic update of super parameters, and obtain the probability distribution of dynamic topics in time dimension, which helps to clear the understanding and tracking of convection text data. However, the current topic recognition model tends to be based on a fixed number of topics K and lacks multi-granularity analysis of subject knowledge. Therefore, it is impossible to deeply perceive the dynamic change of the topic in the time series. By introducing a novel approach on the basis of Infinite Latent Dirichlet allocation model, a topic feature lattice under the dynamic topic number is constructed. In the model, documents, topics and vocabularies are jointly modeled to generate two probability distribution matrices: Documents-topics and topic-feature words. Afterwards, the association intensity is computed between the topic and its feature vocabulary to establish the topic formal context matrix. Finally, the topic feature is induced according to the formal concept analysis (FCA) theory. The topic feature lattice under dynamic topic number (TFL_DTN) model is validated on the real dataset by comparing with the mainstream methods. Experiments show that this model is more in line with actual needs, and achieves better results in semi-automatic modeling of topic visualization analysis.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128540501","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}

引用次数: 0

A Study of Multi-Scale Relationship Between Investor Sentiment and Stock Index Fluctuation Based on the Analysis of BEMD Spillover Index 基于BEMD溢出指数分析的投资者情绪与股指波动的多尺度关系研究

Journal of Systems Science and Information Pub Date : 2021-08-01 DOI: 10.21078/JSSI-2021-399-22

Weiguo Chen, Shufen Zhou, Yin Zhang, Yi Sun

{"title":"A Study of Multi-Scale Relationship Between Investor Sentiment and Stock Index Fluctuation Based on the Analysis of BEMD Spillover Index","authors":"Weiguo Chen, Shufen Zhou, Yin Zhang, Yi Sun","doi":"10.21078/JSSI-2021-399-22","DOIUrl":"https://doi.org/10.21078/JSSI-2021-399-22","url":null,"abstract":"Abstract According to behavioral finance theory, investor sentiment generally exists in investors’ trading activities and influences financial market. In order to investigate the interaction between investor sentiment and stock market as well as financial industry, this study decomposed investor sentiment, stock price index and SWS index of financial industry into IMF components at different scales by using BEMD algorithm. Moreover, the fluctuation characteristics of time series at different time scales were extracted, and the IMF components were reconstructed into short-term high-frequency components, medium-term important event low-frequency components and long-term trend components. The short-term interaction between investor sentiment and Shanghai Composite Index, Shenzhen Component Index and financial industries represented by SWS index was investigated based on the spillover index. The time difference correlation coefficient was employed to determine the medium-term and long-term correlation among variables. Results demonstrate that investor sentiment has a strong correlation with Shanghai Composite Index, Shenzhen Component Index and different financial industries represented by SWS index at the original scale, and the change of investor sentiment is mainly influenced by external market information. The interaction between most markets at the short-term scale is weaker than that at the original scale. Investor sentiment is more significantly correlated with SWS Bond, SWS Diversified Finance and Shanghai Composite Index at the long-term scale than that at the medium-term scale.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127265877","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}

引用次数: 3

Will Tax Burden Be a Stumbling Block to Carbon-Emission Reduction? Evidence from OECD Countries 税收负担会成为碳减排的绊脚石吗?来自经合组织国家的证据

Journal of Systems Science and Information Pub Date : 2021-08-01 DOI: 10.21078/JSSI-2021-335-21

Yishuai Ren, Yong Jiang, Chao-qun Ma, Jiang-Long Liu, Jing Chen

引用次数: 4

Promoting Metro Operation Safety by Exploring Metro Operation Accident Network 探索地铁运营事故网络，促进地铁运营安全

Journal of Systems Science and Information Pub Date : 2021-08-01 DOI: 10.21078/JSSI-2021-455-14

Qi Suo, Liyuan Wang, Tianzi Yao, Zihao Wang

引用次数: 4

Crowdsourcing Task Assignment Mechanism Based on Employer Net Profit and Employee Satisfaction 基于雇主净利润和员工满意度的众包任务分配机制

Journal of Systems Science and Information Pub Date : 2021-08-01 DOI: 10.21078/JSSI-2021-440-15

Juan Li, Yu Zhang

{"title":"Crowdsourcing Task Assignment Mechanism Based on Employer Net Profit and Employee Satisfaction","authors":"Juan Li, Yu Zhang","doi":"10.21078/JSSI-2021-440-15","DOIUrl":"https://doi.org/10.21078/JSSI-2021-440-15","url":null,"abstract":"Abstract Crowdsourcing task assignment has become an important task assignment model in the Internet economy era. In this paper, we study the crowdsourcing task assignment problem based on employer net profit and employee satisfaction. First, the reliability and interest of employees are modeled, based on which the mathematical expressions for employer net profit and employee satisfaction are given. Then, a multi-objective optimization problem is formulated to maximize employer net profit and employee satisfaction by jointly optimizing the task assignment matrix and task offer vector. Since the considered problem contains discrete variables, it cannot be solved directly by traditional optimization methods. Therefore, two low-complexity high-performance algorithms are proposed. The first algorithm is based on a fast non-dominated ranking genetic algorithm with an elite, which is able to explore the Pareto bound of the considered problem. The second algorithm is based on a reinforcement learning framework, which is able to maximize the weighted sum of employer net profit and employee satisfaction. Numerical results show that the number of tasks assigned to employees affects both employee satisfaction and employer net profit. The Pareto bounds and Pareto optimal solutions based on the solutions of the two proposed algorithms are also presented numerically, which quantitatively characterize the tradeoff between employer net profit and employee satisfaction.","PeriodicalId":258223,"journal":{"name":"Journal of Systems Science and Information","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127449938","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}

引用次数: 0