Article
Computer Science, Interdisciplinary Applications
Huai-Wei Lo, James J. H. Liou
Summary: This article discusses a research paper by Nilashi et al. (2019) on factors influencing medical tourism adoption in Malaysia, highlighting errors and misguided use of fuzzy TOPSIS in their study.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Mathematics
Hsu-Lin Chen, Yi-Chung Hu, Ming-Yen Lee
Summary: Subsidiaries typically begin as a company division and as the company expands, the heads of these divisions gain more authority and play an important role in the company's future operational planning.
Article
Green & Sustainable Science & Technology
Merve Kocak Gungor, Bulent Bostanci, Nese Yilmaz Bakir, Umut Dogan
Summary: Urban renewal practices in developing countries often neglect the design dimension, resulting in unqualified urban spaces. This study proposes a criterion framework and a hybrid spatial decision model to improve the design quality of renewal projects.
Article
Computer Science, Artificial Intelligence
Rinu Sathyan, P. Parthiban, R. Dhanalakshmi, M. S. Sachin
Summary: This research paper identifies the crucial enablers of responsiveness in the Indian automotive supply chain through an integrated methodology of Fuzzy multi-criteria decision-making. The findings reveal the significant causal enablers, such as commitment of management and strategy decision making, demand forecasting, and continuous improvement. The proposed framework provides strategic goals to guide supply chain members and decision-makers in the automotive industry towards improved supply chain responsiveness.
Article
Green & Sustainable Science & Technology
Mohyiddine Soltani, Hichem Aouag, Cherrafi Anass, Mohamed Djamel Mouss
Summary: The growth of manufacturing industries and the competitive environment have driven organizations to develop advanced improvement strategies and enhance sustainability performance. Sustainable manufacturing integration leads to enhanced process performances by reducing waste, cost, and environmental impacts while satisfying ergonomic conditions. Various firms have adopted sustainable manufacturing concepts to improve their performances and gain a competitive edge.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Chemistry, Physical
Yiqing Zhao, Yuanjin Xu, Serhat Yuksel, Hasan Dincer, Gozde Gulseven Ubay
Summary: This study weights 8 selected determinants and ranks energy alternatives for hydrogen investments using fuzzy techniques, revealing cost-efficiency and reserve adequacy as key factors in hydrogen investments. Renewable energy sources are found to be more suitable for hydrogen production, with technological capacity and legal regulations also playing critical roles.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Engineering, Chemical
Fawaz M. Abdullah, Abdulrahman M. Al-Ahmari, Saqib Anwar
Summary: I4.0 technologies have an impact on manufacturing strategy outputs (MSOs), with cost, flexibility, and performance being the critical factors determining market competitiveness. Additive manufacturing (AM) is the best I4.0 technology for competing in the global market.
Article
Business
Kerem Elibal, Eren Ozceylan
Summary: This paper conducts a comparison of four Industry 4.0 maturity models using TQM principles, and applies fuzzy logic principles for analysis and decision making. The results show that the model by Schumacher et al. (2016) has the highest score in terms of alignment with TQM principles.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Energy & Fuels
Wei Liu, Hasan Dincer, Serkan Eti, Serhat Yuksel
Summary: This study evaluates energy efficiency in emerging economies using a hybrid fuzzy multi-criteria decision-making model. The findings show that economic development and technological competency are the main factors influencing energy efficiency. Russia and Brazil are the most successful countries in energy efficiency, while India and Turkey rank the lowest.
Article
Management
Zuopeng (Justin) Zhang, Praveen Ranjan Srivastava, Prajwal Eachempati, Yubing Yu
Summary: This paper aims to identify the most resilient company in the Chinese supply chain framework during the COVID-19 pandemic. A hybrid multicriteria model, including fuzzy analytical hierarchy process, is used to rank the companies. The findings suggest that China Energy Construction Group Tianjin Electric Power Construction Co., Ltd is the most feasible and resilient company, while Bosch is the least reliable among the ten companies considered.
INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT
(2023)
Article
Green & Sustainable Science & Technology
Min Zhu, Wenbo Zhou, Min Hu, Juan Du, Tengfei Yuan
Summary: As urban expressways continue to expand, there is a need for new concepts and comprehensive evaluation systems to guide their renewal. This study proposes an evaluation framework that integrates multiple dimensions and applies fuzzy evaluation methods to enhance the versatility and effectiveness of the renewal indicators. The model was successfully applied to the renewal assessment of expressways in Shanghai, providing valuable guidance for urban renewal.
Article
Computer Science, Artificial Intelligence
Serhat Yuksel, Hasan Dincer
Summary: The purpose of this study is to identify the most essential criteria necessary for cyclical production and digital transformation in countries. The study utilizes various methods such as QSF DEMATEL, QSF M-SWARA, QSF TOPSIS, and QSF ELECTRE to evaluate and compare the performance of different countries in cyclical production and digital transformation. The findings highlight the importance of new generation energy technologies in achieving the goals of circular production and digital transformation.
APPLIED SOFT COMPUTING
(2023)
Article
Engineering, Industrial
Su Fang, Pengfei Zhou, Hasan Dincer, Serhat Yuksel
Summary: This study proposes a novel hybrid decision-making model based on IVIF sets for analyzing energy investment risks and safety management systems with HoQ. The results show that global economic uncertainty is the most important criterion and competitive environment is the most prominent factor affecting energy investment risks. Hybrid decision-making approaches based on interval-valued fuzzy sets and stochastic values provide coherent results for weighting criteria and ranking factors.
Article
Social Sciences, Interdisciplinary
Haiyang Shang, Fang Su, Serhat Yuksel, Hasan Dincer
Summary: This study aims to identify the primary technical factors for sustainable low-carbon industry by proposing a hybrid multi-criteria decision-making model. The research finds that research and development for renewable sources is of greatest importance for low-carbon industry. The analysis results of fuzzy TOPSIS and fuzzy VIKOR are consistent, suggesting that countries should prioritize research and development investments to minimize the costs of renewable energy problems and attract companies to invest in cleaner energy projects.
Article
Energy & Fuels
Zhaohan Ding, Serhat Yuksel, Hasan Dincer
Summary: This study proposes a new mathematical model to address a significant issue related to energy prices. The findings highlight that safety incidents and waste management are the most critical factors for the sustainability of energy prices, with skimming identified as the optimal pricing strategy in the energy industry.
Article
Geosciences, Multidisciplinary
Buelent Bostanci
ARABIAN JOURNAL OF GEOSCIENCES
(2019)
Article
Economics
Bulent Bostanci, Nuri Erdem
SOCIO-ECONOMIC PLANNING SCIENCES
(2020)
Article
Engineering, Civil
Umut Dogan
Summary: This study explores the success levels of urban design in Turkish cities, with a focus on walkability criteria. Using an uncommon hybrid method, the results show that Turkish cities have low levels of success in terms of walkability, indicating a need to rethink spatial planning decisions that prioritize motor vehicles over pedestrians.
JOURNAL OF URBAN PLANNING AND DEVELOPMENT
(2021)
Article
Green & Sustainable Science & Technology
Merve Kocak Gungor, Bulent Bostanci, Nese Yilmaz Bakir, Umut Dogan
Summary: Urban renewal practices in developing countries often neglect the design dimension, resulting in unqualified urban spaces. This study proposes a criterion framework and a hybrid spatial decision model to improve the design quality of renewal projects.
Article
Architecture
Merve Kocak Gungor, Fatih Terzi
Summary: This study aims to measure the effects of different residential environments on the overall quality of urban life in Kayseri, and the findings suggest that factors such as satisfaction with neighborhood and city-level urban services, neighborhood relations, and belonging have the most influence. Residents in low-rise and compact form housing areas in Kayseri have higher residential satisfaction compared to high-rise neighborhoods, indicating a need to re-evaluate urban development policies that emphasize high-rise buildings in Turkey's big cities.
ARCHNET-IJAR INTERNATIONAL JOURNAL OF ARCHITECTURAL RESEARCH
(2022)
Article
Environmental Studies
Nese Yilmaz Bakir
Article
Engineering, Multidisciplinary
Bulent Bostanci, Abdullah Karaagac
TEHNICKI VJESNIK-TECHNICAL GAZETTE
(2019)
Article
Environmental Studies
Nese Yilmaz Bakir, Umut Dogan, Merve Kocak Gungor, Bulent Bostanci
Article
Construction & Building Technology
Gabriele Bernardini, Tiago Miguel Ferreira, Pilar Baquedano Julia, Rafael Ramirez Eudave, Enrico Quagliarini
Summary: This research offers a methodology for combined spatiotemporal flood risk assessment, considering hazard, physical vulnerability, user exposure, and vulnerability. It adopts a mesoscale approach and investigates indoor and outdoor users' exposure and vulnerability, using the Analytical Hierarchy Process to combine risk factors.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Ying Liu, Chunli Chu, Ruijun Zhang, Shaoqing Chen, Chao Xu, Dongliang Zhao, Chunchun Meng, Meiting Ju, Zhi Cao
Summary: This study investigates the effects of increasing road, wall, and roof albedo on mitigating the urban heat island (UHI) effect in different areas of Tianjin. The results reveal that increasing road albedo is more effective in fringe areas, while increasing wall and roof albedo is more effective in central areas. The temperature changes induced by albedo changes also show seasonal characteristics.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Xisheng Lin, Yunfei Fu, Daniel Z. Peng, Chun-Ho Liu, Mengyuan Chu, Zengshun Chen, Fan Yang, Tim K. T. Tse, Cruz Y. Li, Xinxin Feng
Summary: This study employed computational fluid dynamics and neural network models to investigate and predict pollutant dispersion in urban environments, providing valuable insights for designing effective strategies to mitigate the impacts of hazardous pollutants.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Dipanjan Nag, Arkopal Kishore Goswami
Summary: Future-oriented urban planning should continue to focus on the principles of accessible and walkable cities. The perception of people is crucial for developing better urban walking infrastructure, but current evaluation tools often neglect the "perceived" features of the walking network. This study used conjoint analysis to evaluate users' perception of link and network attributes, revealing the importance of considering both in improving the walking environment.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Yongxin Su, Tao Zhang, Mengyao Xu, Mao Tan, Yuzhou Zhang, Rui Wang, Ling Wang
Summary: This study proposes an optimization method for household integrated demand response (HIDR) by combining rough knowledge and a dueling deep Q-network (DDQN), aiming to address uncertainties in a household multi-energy system (HMES). The simulation results demonstrate that the proposed method outperforms rule-based methods and DDQN in terms of energy cost savings.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Sijia Sun, S. F. A. Batista, Monica Menendez, Yuanqing Wang, Shuang Zhang
Summary: This paper comprehensively analyzes the energy consumption characteristics of electric buses (EBs) and diesel buses (DBs) on different bus lane configurations and operational conditions. The study shows that EBs consume less energy in suburban areas when using regular lanes, while both EBs and DBs save substantial energy when operating on dedicated bus lanes in downtown areas. Notably, shared-use bus lanes have the highest energy consumption.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Shangshang Shen, Dan Yan, Xiaojie Liu
Summary: This study developed a comprehensive theoretical framework for evaluating, diagnosing, and optimizing multi-functional urban agriculture. The framework was applied in Xiamen, China to identify the obstacles that impede its coordinated development and propose optimized modes for its development. Results showed that urban agriculture in Xiamen exhibits sound social function, moderate economic function, and poor ecological function.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Oluwafemi E. Adeyeri, Akinleye H. Folorunsho, Kayode I. Ayegbusi, Vishal Bobde, Tolulope E. Adeliyi, Christopher E. Ndehedehe, Akintomide A. Akinsanola
Summary: This study examines the impact of land cover, vegetation health, climatic forcings, elevation heat loads, and terrain characteristics on land surface temperature distribution over West Africa. The random forest model performs the best in downscaling predictands. The southern regions consistently exhibit healthy vegetation, while areas with unhealthy vegetation coincide with hot land surface temperature clusters. Positive Normalized Difference Vegetation Index trends in the Sahel highlight rainfall recovery and subsequent greening. Southwest winds cause the upwelling of cold waters, resulting in low land surface temperatures in southern West Africa. Considering LVCET factors is crucial for prioritizing greening initiatives and urban planning.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Yuchi Cao, Yan Li, Shouyun Shen, Weiwei Wang, Xiao Peng, Jiaao Chen, Jingpeng Liao, Xinyi Lv, Yifan Liu, Lehan Ma, Guodian Hu, Jinghuan Jiang, Dan Sun, Qingchu Jiang, Qiulin Liao
Summary: The study reveals significant disparities in urban green equity, with high property price areas having better access to green spaces than low property price areas. Landscape and greening have the most significant impact on urban green space differentiation.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Shaobo Sun, Kui Shan, Shengwei Wang
Summary: Economizer control is an important measure for energy savings in air-conditioning systems during moderate seasons. Humidity measurement uncertainties have a significant impact on enthalpy-based economizer control, and an uncertainty-tolerant control strategy is proposed to mitigate these effects.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Ding Mao, Peng Wang, Yi-Ping Fang, Long Ni
Summary: This study analyzes the structure, function, operation, and failure characteristics of district heating networks (DHNs) and proposes vulnerability analysis methods. The effectiveness of these methods is validated through application to a DHN in a Chinese city. The study finds that the heat source connectivity efficiency loss rate effectively characterizes topological and functional vulnerability. It also reveals that controllable DHNs have higher functional vulnerability under large area failure scenarios.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Hamid Karimi, Saeed Hasanzadeh, Hedayat Saboori
Summary: This paper presents a stochastic and cooperative approach for the operation of a cluster of interconnected multi-energy systems. The proposed model investigates the interaction among energy systems and integrates hydrogen and water systems into the overall energy structure. The model studies the performance of energy system agents in decentralized and cooperative scheduling.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Zhiyu Yan, Xiaogang Guo, Zilong Zhao, Luliang Tang
Summary: This study proposes a novel framework for fine-grained information extraction and dynamic spatial-temporal awareness in disaster-stricken areas based on social media data. The framework utilizes deep learning modules to extract location and water depth information from text and images, and analyzes the spatio-temporal distribution characteristics. The results show that the fusion of text and image-based information can enhance the perception of flood processes.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
M. A. Pans, G. Claudio, P. C. Eames
Summary: This study simulated and optimized a speculative district heating system in an existing urban area in Loughborough, UK. The system used only renewable heat sources and thermal energy storage to address the mismatch between heat generation and demand. The study assessed the impact of long-term storage volume and charging temperature on system cost and energy efficiency.
SUSTAINABLE CITIES AND SOCIETY
(2024)
Article
Construction & Building Technology
Jianmei Zhong, Wei Zhang, Xiaoli Wang, Jinsheng Zhan, Tao Xia, Lingzhi Xie, Xiding Zeng, Kun Yang, Zhangyu Li, Ruiwen Zou, Zepu Bai, Qing Wang, Chenyang Zhang
Summary: This study aims to propose a suitable air distribution design and reduce the energy consumption of the BSL-4 laboratory. It analyzes the diffusion characteristics of aerosols, infection risk under different air distributions, and ventilation parameters. The results show that the proposed energy-saving operation strategy can reduce the energy consumption of the laboratory by 15-30%.
SUSTAINABLE CITIES AND SOCIETY
(2024)
