Article
Biodiversity Conservation
Yong He, Cui Tang, Danlei Zhang, Nuo Liao
Summary: Improving industrial green competitiveness is crucial in addressing resource scarcity and environmental degradation during the process of ecological civilization development. This study evaluates the green competitiveness of 33 industrial sub-sectors in China from 2002 to 2017 using the direction distance function and the global Malmquist-Luenberger productivity index. It identifies critical factors influencing industrial green competitiveness using the rough set theory and investigates how these factors impact different categories of industrial sub-sectors using the fuzzy artificial neural network. The findings highlight the importance of research and development intensity, environmental regulation, and enterprise scale in achieving industrial green competitiveness.
ECOLOGICAL INDICATORS
(2023)
Article
Computer Science, Artificial Intelligence
Shihua Luo, Jun Liu
Summary: This paper develops an evaluation framework for green development level based on existing literature, and successfully applies it to five provinces and municipalities along the Yangtze River Economic Zone in China. The research results reveal the ranking of green development levels for each province and municipality.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Review
Computer Science, Artificial Intelligence
Wanting Ji, Yan Pang, Xiaoyun Jia, Zhongwei Wang, Feng Hou, Baoyan Song, Mingzhe Liu, Ruili Wang
Summary: Feature selection is a key method for data preprocessing in data mining tasks, aiming to select a feature subset based on evaluation criteria. Fuzzy rough set theory has been proven to be ideal for dealing with uncertain information in feature selection. This article provides a comprehensive review of fuzzy rough set theory and its applications, discussing challenges in feature selection methods.
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY
(2021)
Article
Computer Science, Information Systems
Yan Sun, Fu-Gui Shi
Summary: There has been a growing interest in the development of lattice-valued rough set theory in recent years. This framework includes various types of rough sets, such as intuitionistic, interval-valued, neutrosophic, and Pythagorean fuzzy rough sets. Additionally, representations of fuzzy rough approximation operators based on a completely distributive lattice are provided, extending the existing results for the case when the lattice is [0,1]. It is shown that the representations of intuitionistic and interval-valued fuzzy rough approximation operators proposed by Zhou and Sun are special cases of the proposed representations.
INFORMATION SCIENCES
(2023)
Article
Computer Science, Information Systems
Jin Ye, Jianming Zhan, Weiping Ding, Hamido Fujita
Summary: This paper redefines fuzzy beta-neighborhood operators to achieve reflexivity, constructs an ITFRS model based on these reflexive operators, and proposes a new decision-making method for multi-criteria decision-making problems.
INFORMATION SCIENCES
(2021)
Article
Operations Research & Management Science
Hehua Li, Rui Zhang, Yang Zhang
Summary: This paper summarizes the classic monographs, national industry logistics standards, journals, and papers in the chemical logistics industry. By combining questionnaire surveys, 22 performance evaluation indicators were selected and established from four aspects: service level, financial cost, technical infrastructure and resources, and EHS. The operation performance evaluation system of chemical logistics service suppliers in China was established using fuzzy analytic hierarchy process. The empirical analysis shows that the indicator system is scientific and reasonable.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Computer Science, Theory & Methods
Junli Zhou, Fasheng Xu, Yanyong Guan, Hongkai Wang
Summary: This paper introduces three new types of fuzzy covering-based rough set models, defined based on membership degree and membership function in different approximation spaces. The study includes properties of the models and their relationship with traditional rough sets.
FUZZY SETS AND SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Jiali He, Liangdong Qu, Zhihong Wang, Yiying Chen, Damei Luo, Ching-Feng Wen
Summary: This paper investigates attribute reduction in an incomplete categorical decision information system (ICDIS) based on fuzzy rough sets. An attribute reduction algorithm is proposed and experiments show that it outperforms existing algorithms.
ARTIFICIAL INTELLIGENCE REVIEW
(2022)
Article
Automation & Control Systems
Akin Osman Atagun, Huseyin Kamaci
Summary: This paper introduces a new uncertainty modelling concept called strait fuzzy set, which brings new perspectives to fuzzy mathematics. Strait fuzzy sets allow objects/points to be graded with fuzzy membership intervals instead of exact values. The paper also studies the basic operations and properties of strait fuzzy sets, introduces the concept of strait fuzzy rough set, and proposes similarity approaches for measuring similarity rates of vaccines against influenza viruses.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2023)
Article
Green & Sustainable Science & Technology
Congmei Hou, Hong Chen, Ruyin Long, Le Zhang, Menghua Yang, Yanqing Wang
Summary: This study established a new green productivity evaluation indicator system based on statistical data and specific methods, which revealed that China's green productivity is still in a transition phase. Corresponding improvement strategies were proposed.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Computer Science, Artificial Intelligence
Lu Gao, Bing-Xue Yao, Ling-Qiang Li
Summary: In this paper, a new type of L-fuzzy generalized neighborhood system is introduced and L-fuzzy rough sets based on it are defined and discussed. The proposed model is verified to be an extension of Pang's generalized neighborhood system-based pessimistic rough sets. The paper also establishes the axiomatic characterizations of the pessimistic L-fuzzy rough sets and presents a reduction theory preserving L-fuzzy approximation operators.
Article
Computer Science, Artificial Intelligence
Wei Li, Bin Yang
Summary: As a generalization of equivalent class, fuzzy covering makes descriptions of the objective world more realistic, practical and accurate in some cases. In this paper, we establish four kinds of fuzzy probabilistic covering-based rough set, which combine the fuzzy covering-based neighborhood operator and the fuzzy probabilistic rough set, and then obtain the result of their three-way decision.
APPLIED SOFT COMPUTING
(2023)
Article
Multidisciplinary Sciences
A. A. Abdallah, O. R. Sayed, E. El-Sanousy, Y. H. Ragheb Sayed, M. N. Abu-Shugair, Salahuddin
Summary: In this article, two new rough set models, optimistic and pessimistic multi-granulation double fuzzy rough sets, based on the concept of double fuzzy relations, are introduced and discussed. The study focuses on the lower and upper approximations, which generalize the conventional rough set model. The development of the multi-granulation double fuzzy rough set model is suggested to be significant for the generalization of the rough set model.
Article
Computer Science, Information Systems
Chenxia Jin, Jusheng Mi, Fachao Li, Meishe Liang
Summary: This study explores and applies the fusion of probabilistic hesitant fuzzy sets (PHFSs) and rough sets in uncertain multi-criteria decision-making (MCDM). It introduces an advanced method to obtain normalized PHFSs (NPHFSs), establishes a novel probabilistic hesitant fuzzy rough set (PHFRS) model, and proposes a fuzziness-based objective weight determination method. The effectiveness of the proposed method is demonstrated through experimental comparisons.
INFORMATION SCIENCES
(2022)
Article
Computer Science, Information Systems
Changzhong Wang, Yang Huang, Weiping Ding, Zehong Cao
Summary: Fuzzy rough sets combined with the concept of self-information are used to construct four uncertainty measures to evaluate the classification ability of attribute subsets. The fourth measure, relative decision self-information, is proven to be better for attribute reduction. A greedy algorithm is designed for attribute reduction, and the effectiveness of the method is validated through experimental results.
INFORMATION SCIENCES
(2021)
Article
Engineering, Environmental
Jiahui Yang, Ruyin Long, Hong Chen, Xiu Cheng
Summary: The management of take-out packaging waste has become an urgent need, and this study establishes a tripartite game model to analyze the evolution process of governments, consumers, and take-out platforms in the waste system. The study results show that government and take-out platforms' effort levels, advertising effects, and government policies have impacts on the evolution path of the system.
Correction
Environmental Sciences
Shuai Han, Hong Chen, Ruyin Long
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Article
Environmental Sciences
Daoyan Guo, Hong Chen, Ruyin Long, Shaohui Zou
Summary: The study established a hierarchical framework for urban residents' approach-avoidance responses to personal carbon trading, finding that respondents could be classified into five response hierarchies and exhibiting demographic differences and influences of psychological factors. Most of the residents with the most avoidance response were young males, older first-line employees, and those on subsistence incomes. Residents with egoistic values, low senses of social responsibility, little knowledge about carbon reductions, and a preference for comfortable life were more likely to avoid the scheme and participation.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Feiyu Chen, Hong Chen, Yujing Jin, Fang Wang, Wenjin Chen, Meifen Wu, Wenbo Li, Shanshan Li, Ruyin Long
Summary: The study suggests that individuals with high cognition of separation and high trustworthiness for links are more inclined to participate in waste separation activities. Trustworthiness for links plays a critical role in regulating the relationship between waste separation behavior and cognition of separation.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Transportation
Zhengxia He, Yanqing Zhou, Xin Chen, Jianming Wang, Wenxing Shen, Meiling Wang, Wenbo Li
Summary: The study finds that areas with dense populations, higher education levels, higher income, and a complete charging infrastructure tend to dominate the early market for electric vehicles.
TRANSPORTATION LETTERS-THE INTERNATIONAL JOURNAL OF TRANSPORTATION RESEARCH
(2022)
Article
Engineering, Environmental
Wenbo Li, Muyi Yang, Ruyin Long, Zhengxia He, Linling Zhang, Feiyu Chen
Summary: This study analyzed the emissions in the cross-province electricity trade in China, finding a decrease in transferred emissions from eastern city clusters to western provinces. Indirect emissions transfer was also highlighted as a significant factor. Policies, infrastructure investment, and consumer education play important roles in encouraging emission reduction behaviors.
RESOURCES CONSERVATION AND RECYCLING
(2021)
Article
Environmental Sciences
Feiyu Chen, Jingxuan Lou, Jiangxin Hu, Hong Chen, Ruyin Long, Wenbo Li
Summary: This study found that individual crisis awareness plays a significant role in medical waste separation behavior. During the COVID-19 epidemic, crisis awareness generated by the environmental situation has a significant correlation with individuals' participation in medical waste separation, and spontaneous crisis awareness has a significant positive impact on the decision factor.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Green & Sustainable Science & Technology
Xiu Cheng, Ruyin Long, Linling Zhang, Wenbo Li
Summary: Policy experienced utility refers to the subjective feeling and value judgment of a target group towards a specific policy, which can significantly influence the implementation effect. Results from numerical simulation show that increasing subsidy coefficient, emotional saturation factor, social recognition, policy efficacy, and policy sustainability, while reducing implementation cost, can improve the experienced utility of sustainable lifestyle guiding policies.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2021)
Article
Psychology, Multidisciplinary
Meifen Wu, Ruyin Long, Hong Chen
Summary: This study explored the cognitive distance, emotional distance, expected distance, and behavioral distance of the Chinese public in relation to the COVID-19 pandemic from the perspective of psychological distance (PD). The study found that the government was the most appealing subject in pandemic prevention and control, but the public's sense of closeness to the government was lower than that of other subjects. Different pandemic regions showed significant differences in PD, with high-risk regions having higher PD mean scores than medium-risk and low-risk regions. No spatial autocorrelation was found in PD globally, but high-value regions with distant PD were mainly in southern regions and low-value regions with close PD were mainly in North China.
CURRENT PSYCHOLOGY
(2022)
Article
Green & Sustainable Science & Technology
Bei Liu, Hong Chen, Shiyan Jiang, Qingqing Sun
Summary: The green labor style focuses on the sustainable development of employees and their physical and mental health, while also considering labor protection mechanisms throughout the production process. Institutional constraints and boundary management were found to be significant factors influencing employees' willingness to engage in green labor, while individual organization-based self-esteem played a positive role in buffering the negative impacts of organizational scenarios on outcomes.
Article
Environmental Sciences
Yujie Wang, Hong Chen, Ruyin Long, Shiyan Jiang, Bei Liu
Summary: Protecting labor safety and health, and actively carrying out occupational safety and health management (OSHM) is a common need worldwide. This study evaluated the occupational health and safety management level (OHSML) of listed companies in China's energy industry and proposed suggestions for improvement.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Review
Environmental Sciences
Meifen Wu, Ruyin Long, Shuhan Yang, Xinru Wang, Hong Chen
Summary: This study uses knowledge mapping analysis and overview to clarify the basic status of climate change communication research and summarize research hotspots and prospects. The study found that research on climate change communication has made significant progress internationally while lagging behind in China. The study also highlights the strong influence of political ideology on public perceptions of climate change.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Psychology, Multidisciplinary
Bei Liu, Hong Chen, Congmei Hou, Yujie Wang
Summary: This study developed and validated the Motivation for Overtime Work among Chinese Employees (MOW-CE) questionnaire, which includes six factors: promotion, belongingness, survival, companion, standard, and aimless, providing a new tool for understanding individual motivations for working overtime.
CURRENT PSYCHOLOGY
(2022)
Article
Psychology, Multidisciplinary
Shanshan Li, Hong Chen, Yan Feng, Feiyu Chen, Congmei Hou
Summary: Psychological distance provides a theoretical framework for multidisciplinary and interdisciplinary research, and research on psychological distance has gone through different developmental stages and covered various research themes in different fields.
CURRENT PSYCHOLOGY
(2022)
Article
Business
Zhengxia He, Yanqing Zhou, Jianming Wang, Cunfang Li, Meiling Wang, Wenbo Li
Summary: This study examines the driving factors for green purchasing behavior using new energy vehicles as the case, finding that behavior motivation, intention, residential characteristics, behavior ability, social norms, and institutional and technological context all play a role, with the existence of an intention-behavior gap.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2021)
Article
Biodiversity Conservation
Yongcui Lan, Jinliang Wang, Qianwei Liu, Fang Liu, Lanfang Liu, Jie Li, Mengjia Luo
Summary: This study focuses on the five major plateau lake basins in central Yunnan, China, and constructs an ecological security pattern using the source-resistance surface-corridor-pinch point framework. The study simulates land use/cover change in the region and identifies early warning regions where future urban expansion poses a threat to current ecological source areas and corridors.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Pingping Huang, Feng Zhao, Bailing Zhou, Kuidong Xu
Summary: This study investigates the distribution of benthic microeukaryotes in the China Seas and finds that they can stride over the ecological barrier of 32 degrees N. The study also highlights the significant influence of depth, temperature, and latitude on communities in the China Seas.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Federico Morelli, Yanina Benedetti, Jesse Stanford, Leszek Jerzak, Piotr Tryjanowski, Paolo Perna, Riccardo Santolini
Summary: Species distribution models (SDMs) are numerical tools used for predicting species' spatial distribution. This study found that ecological characteristics, such as habitat specialization, play a role in improving the accuracy of SDMs.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Xiaoxuan Wu, Hang Liu, Wei Liu
Summary: Global climate change, urbanization, and economic development have increased the need for sustainable human development, urban ecological governance, and low-carbon energy transformation. This study analyzes the green ecological transition in Chengdu based on panel data from 2010 to 2020, exploring its spatiotemporal evolution and key factors. The results show an overall upward trend in Chengdu's green ecological development and positive spatial autocorrelation in certain districts.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Castaldi Simona, Formicola Nicola, Mastrocicco Micol, Morales Rodriguez Carmen, Morelli Raffaella, Prodorutti Daniele, Vannini Andrea, Zanzotti Roberto
Summary: Sustainable agricultural practices are increasingly important for global and national environmental policies and economy. This study compared the sustainability of grape production under integrated and organic management using multiple indicators. The results showed that organic management was more beneficial for most environmental aspects of the agroecosystem compared to integrated management, without affecting grape yield.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Gaia Vaglio Laurin, Alexander Cotrina-Sanchez, Luca Belelli-Marchesini, Enrico Tomelleri, Giovanna Battipaglia, Claudia Cocozza, Francesco Niccoli, Jerzy Piotr Kabala, Damiano Gianelle, Loris Vescovo, Luca Da Ros, Riccardo Valentini
Summary: Phenology monitoring is important for understanding forest functioning and climate impacts. This research compares the phenological behavior of European beech forests using Tree-Talker (TT+) and Sentinel 2 satellite data. The study finds differences in the information derived by the two sensor types, particularly in terms of season length, phenology changepoints, and leaf period variability. TT+ with its higher temporal resolution demonstrates precision in capturing the phenological changepoints, especially when satellite image availability is limited.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Huanhuan Pan, Ziqiang Du, Zhitao Wu, Hong Zhang, Keming Ma
Summary: The land use and cover changes resulting from coal mining activities and ecological restoration have had a significant impact on ecosystem services in mining areas. This study investigates the relationship between ecosystem services and land use intensity in coal mining areas, emphasizing the importance of understanding this interdependence for balanced human-land system development. The research examines the evolving relationship across different reclamation stages in Shanxi, China, using a coupling coordination degree model. The findings suggest the need for timely and judicious reclamation of coalfields, considering the land's bearing capacity.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Jingjuan He, Yijun Shi, Lihua Xu, Zhangwei Lu, Mao Feng
Summary: This study examines the spatial interplay between changes in the blue-green spatial distribution and modifications in land surface temperature grades in Shanghai. The findings reveal that the transformation of the blue-green spatial pattern differs between different sectors of the city, and the impact on the thermal environment varies spatially.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Yi Xu, Di Zhang, Junqiang Lin, Qidong Peng, Xiaohui Lei, Tiantian Jin, Jia Wang, Ruifang Yuan
Summary: This study analyzed the response relationship between phytoplankton growth and water environmental parameters in the Middle Route of the South-to-North Water Diversion Project in China using long-term monitoring data and machine learning models. The results revealed the differences between monitoring sites and identified the key parameters that affect phytoplankton growth.
ECOLOGICAL INDICATORS
(2024)