Article
Computer Science, Artificial Intelligence
S. Haseena, S. Saroja, T. Revathi
Summary: Due to busy lifestyles, people easily adapt to unhealthy diets, leading to various health problems. This study proposes a system that ranks diet plans based on personal information to meet individual nutritional needs.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Ismail Erol, Ilker Murat Ar, Iskender Peker
Summary: Sustainability has become increasingly important in constructing resilient supply chains. Customers' demand for sustainable products has put pressure on manufacturers and suppliers to become more sustainable globally. Decision-makers are interested in applying disruptive technologies like blockchain to address societal, environmental, and economic concerns. However, existing research lacks a quantitative examination of the critical functions of sustainable supply chains (SSCs) for blockchain applicability. This study investigates the most feasible functions of SSCs for potential blockchain implementations and suggests that sourcing, delivery, transformation, and product recovery are the most appropriate functions. This research provides valuable insights for decision-makers on where blockchain can create additional value in SSCs.
APPLIED SOFT COMPUTING
(2022)
Article
Construction & Building Technology
Oemer Ekmekciog, Kerim Koc, Ismail Dabanli, Ali Deniz
Summary: This study assessed a list of mitigation strategies to address urban water scarcity, using fuzzy set theory and analytical hierarchy process (AHP) combined with technique for order of preference by similarity to ideal solution (TOPSIS) to determine weights and ranking. The findings showed that organized land use planning and limiting new growth in urban areas were the most promising strategies. Additionally, conducting integrated water resource planning and promoting the use of sustainable materials domestically can enhance urban resilience and sustainability.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Computer Science, Artificial Intelligence
Ali Mohtashami
Summary: This paper introduces a new method for fuzzy pairwise comparisons, Best-Worst Method for considering Fuzzy Pairwise Comparisons (FBWM), which differs from previous approaches by obtaining crisp weights from a fuzzy pairwise comparison matrix, eliminating the need for supplementary aggregation of fuzzy weights and ranking procedures.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Environmental Sciences
Ismail Elkhrachy, Ali Alhamami, Saleh H. Alyami
Summary: Dealing with solid waste management involves practical issues and consideration of environmental effects. In this study, multi-criteria decision analysis (MCDA) was used to evaluate and suggest the best locations for landfill sites in Najran, KSA. Remote sensing data and ArcGIS software were utilized to prepare thematic layers, and the weightings of these layers were evaluated using a questionnaire and analytical hierarchy process (AHP) and fuzzy set technique. The results provided a landfill suitability index (LSI) map and demonstrated the percentage of suitable areas. The findings can guide decision-makers in selecting an optimal landfill site and enhance landfill site suitability in Najran city.
Article
Mathematics
Shahzad Faizi, Wojciech Salabun, Nisbha Shaheen, Atiq ur Rehman, Jaroslaw Watrobski
Summary: The paper introduces the hesitant 2-tuple linguistic set for handling uncertain data, along with operational laws and aggregation operators to merge information from decision makers. These operational laws and operators aid in dealing with complex choice situations and capturing diverse decision maker experiences.
Review
Computer Science, Artificial Intelligence
Nursah Alkan, Cengiz Kahraman
Summary: Intuitionistic fuzzy sets, known as the most widely used fuzzy set extension, allow decision makers to specify membership and non-membership degrees for elements, reflecting their uncertainty. This study aims to develop non-linear continuous intuitionistic fuzzy sets and apply them in multi-criteria decision making models. Utilizing CINFUSs with second-order non-linear functions, the study employs the AHP and TOPSIS methodologies in a fuzzy environment, contributing to the understanding of how higher order non-linear functions can be used in intuitionistic fuzzy sets.
APPLIED SOFT COMPUTING
(2023)
Article
Agronomy
Parvin Zolfaghary, Mahdi Zakerinia, Hossein Kazemi
Summary: The study investigated the suitability of using urban treated wastewater for irrigation, considering both technical-economic and environmental factors. Results showed that the Bandar Gaz plant performed better in criteria such as aquifer vulnerability and nitrate contamination, highlighting the importance of these factors in decision-making.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Energy & Fuels
Hao Lu, Lei Zhao, Xuejie Wang, Huiru Zhao, Jiangjiang Wang, Bingkang Li
Summary: This paper proposes an integrated fuzzy-GMCDM method for assessing the applicability of different energy storage systems in various scenarios. The method uses a comprehensive performance assessment index system, determines optimal weights, and considers decision-makers' risk preferences to optimize energy storage selection and ranking. The results show that this method provides decision-makers with optimal solutions for different scenarios such as renewable energy consumption and ancillary services.
JOURNAL OF ENERGY STORAGE
(2023)
Review
Computer Science, Artificial Intelligence
Long Chen, Wei Pan
Summary: With the complex and uncertain nature of construction management, fuzzy multi-criteria decision making (FMCDM) has become popular for addressing diverse decision-makers' interests and conflicting objectives. This study comprehensively reviews FMCDM literature in construction management from 2007 to 2017 using a network approach, exploring the relationships between fuzzy sets (FSs), MCDM, and associated applications. The analysis of 165 published journal articles reveals the characteristics, strengths, and limitations of 37 single-hybrid and 17 multiple-hybrid FMCDM methods.
APPLIED SOFT COMPUTING
(2021)
Article
Biodiversity Conservation
Arjun B. Doke, Rajendra B. Zolekar, Hemlata Patel, Sumit Das
Summary: Groundwater, an essential natural resource for various activities, was geospatially mapped using GIS, MCDM, AHP, and remote sensing techniques in this study. The methodology and results were accurate in determining different groundwater potential zones and can be useful in similar drought-prone regions globally.
ECOLOGICAL INDICATORS
(2021)
Article
Computer Science, Artificial Intelligence
Yan Sun, Xiaojun Zhou, Chunhua Yang, Tingwen Huang
Summary: Multi-attribute decision making (MADM) is widely used in real-world problems, but it imposes a cognitive burden on decision-makers to comprehend the decision-making process and select a satisfactory choice from conflicting alternatives. To solve this problem, a visual analytics approach for MADM (MADM-VA) is proposed. Experimental results show that this approach is efficient and reliable.
INFORMATION FUSION
(2023)
Article
Computer Science, Information Systems
Kai Zhang, Jianhua Dai
Summary: In this paper, the concept of fuzzy fl-covering group approximation spaces and a three-way multi-criteria group decision-making method are proposed to solve ranking and classification problems in a group decision-making environment. The method employs fuzzy fitting neighborhoods and an overall loss function to meet the preferences of decision makers. Numerical and experimental analysis demonstrate the feasibility and superiority of the proposed method.
INFORMATION SCIENCES
(2022)
Article
Agricultural Engineering
Niravkumar Kosamia, Arturo Sanchez, Sudip Rakshit
Summary: This study improves the decision-making process of large-scale succinic acid production by applying the hesitant fuzzy analytical hierarchy process (HFAHP) as a multi-criteria decision analysis method. It considers techno-economic and environmental criteria and performs weightage allocation and sensitivity analysis based on expert opinions.
INDUSTRIAL CROPS AND PRODUCTS
(2023)
Article
Computer Science, Interdisciplinary Applications
Ting-Yu Chang, Cooper Cheng-Yuan Ku
Summary: Ranking methods are widely used in social science and economics for various purposes. The novel fuzzy filtering ranking method combines Likert scale and discrete fuzzy scores to simplify the ranking process. Experimental results show high consistency between the proposed method and traditional methods in ranking outcomes.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Engineering, Chemical
Tao Shi, Wei Chun, Ao Yang, Yang Su, Saimeng Jin, Jingzheng Ren, Weifeng Shen
CHEMICAL ENGINEERING SCIENCE
(2020)
Article
Engineering, Chemical
Jingzheng Ren, Xusheng Ren, Weifeng Shen, Yi Man, Ruojue Lin, Yue Liu, Chang He, Alessandro Manzardo, Sara Toniolo, Lichun Dong
Article
Environmental Sciences
Yi Man, Yulin Han, Yue Liu, Ruojue Lin, Jingzheng Ren
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2020)
Correction
Agricultural Engineering
Jingzheng Ren
BIORESOURCE TECHNOLOGY
(2020)
Article
Engineering, Chemical
Ao Yang, Wei Chun, Shirui Sun, Tao Shi, Jingzheng Ren, Weifeng Shen
SEPARATION AND PURIFICATION TECHNOLOGY
(2020)
Article
Thermodynamics
Shirui Sun, Wei Chun, Ao Yang, Weifeng Shen, Peizhe Cui, Jingzheng Ren
Article
Engineering, Environmental
Fang Wang, Jingjing Wang, Jingzheng Ren, Zhiwei Li, Xiaopeng Nie, Raymond R. Tan, Xiaoping Jia
RESOURCES CONSERVATION AND RECYCLING
(2020)
Article
Green & Sustainable Science & Technology
Jiahao Xing, Junnian Song, Jingzheng Ren, Wei Yang, Haiyan Duan
JOURNAL OF CLEANER PRODUCTION
(2020)
Editorial Material
Energy & Fuels
Anna Mazzi, Jingzheng Ren
Article
Green & Sustainable Science & Technology
Ao Yang, Yang Su, Shirui Sun, Weifeng Shen, Mengna Bai, Jingzheng Ren
Summary: This study proposes a novel approach for the separation of ethanol/tert-butanol/water ternary azeotropic mixture. Two processes, double-column reactive-extractive distillation (DCRED) and reactive-extractive dividing wall column (REDWC), are developed using kinetic and thermodynamic analysis and optimized with a multi-objective particle swarm optimization algorithm. The evaluation based on cost, emissions, and efficiency shows that both processes have significant improvements compared to the conventional method.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Zhanwu Wang, Zhenfeng Wang, Guangyin Xu, Jingzheng Ren, Heng Wang, Jin Li
JOURNAL OF CLEANER PRODUCTION
(2020)
Article
Green & Sustainable Science & Technology
Yue Liu, Jingzheng Ren, Yi Man, Ruojue Lin, Carman K. M. Lee, Ping Ji
JOURNAL OF CLEANER PRODUCTION
(2020)
Article
Green & Sustainable Science & Technology
Yang Su, Ao Yang, Saimeng Jin, Weifeng Shen, Peizhe Cui, Jingzheng Ren
JOURNAL OF CLEANER PRODUCTION
(2020)
Article
Chemistry, Multidisciplinary
Zihao Wang, Yang Su, Saimeng Jin, Weifeng Shen, Jingzheng Ren, Xiangping Zhang, James H. Clark
Article
Engineering, Chemical
Qiping Zhu, Bingjian Zhang, Qinglin Chen, Chang He, Dominic C. Y. Foo, Jingzheng Ren, Haoshui Yu
CHEMICAL ENGINEERING SCIENCE
(2020)
Article
Engineering, Environmental
Yui Kawasaki, Sayaka Nagao-Sato, Misa Shimpo, Kahori Fujisaki, Emi Yoshii, Rie Akamatsu, Petra Warschburger
Summary: This study qualitatively describes sustainable dietary behaviors (SDBs) that Japanese and German adults can implement in their lives, and quantitatively compares the similarities and differences in understanding SDBs between the two samples. The study found that Japanese participants were more focused on food waste prevention, while German participants were more focused on solving environmental problems.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Kechun Chen, Yuan Ding, Liming Yang, Zhihao Wang, Haoxuan Yu, Difan Fang, Yufa Feng, Liying Hu, Chenxi Xu, Penghui Shao, Xubiao Luo, Liang Chen
Summary: This study proposes a targeted repair scheme for the recovery of graphite anodes from spent LIBs by systematically characterizing and analyzing the structure and composition of spent graphite (SG). The results show that the repair scheme achieves effective SG repair and the repaired graphite anode displays excellent lithium storage performance.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Takao Ueda, Shigeki Koyanaka, Tatsuya Oki
Summary: Fires caused by accidental crushing of batteries are a serious issue in the e-waste recycling process. A new in-line sorting system that uses X-ray scanning and deep learning has been developed to accurately detect batteries. Through a validation study, the system achieved higher accuracy compared to other existing programs.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Hannes Geist, Frank Balle
Summary: Research on circular economy often lacks empirical data, especially in the theory of circular process design and design for remanufacturing. This study systematically collected and analyzed engineering data on seven remanufacturing processes in the European automotive remanufacturing industry for the first time, providing empirical support for circular engineering challenges, potentials, and solutions.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Xiaojing Li, Fan Lue, Nanlin Liao, Hua Zhang, Na Yang, Pinjing He
Summary: This study assesses and predicts the greenhouse gas emissions on the timeline as waste treatment technologies develop in Shanghai from 1991 to 2025 using the Life Cycle Assessment (LCA) methodology. The findings demonstrate that GHG emission has reached net-zero in 2019 owing to the application of alternative technologies and waste segregation.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Bingchun Liu, Haoyang Wang, Xiaoqin Liang, Yibo Wang, Zijie Feng
Summary: The expansion of the photovoltaic market has resulted in a significant increase in PV waste. Therefore, conducting scientific research to determine the importance of the circular economy for sustainable growth in the PV industry is essential. The study demonstrates that accurate prediction of PV installed capacity and quantifying the importance of recycling in balancing the supply and demand of raw materials can be achieved through a multi-factor installed capacity prediction model and recovery potential prediction.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Review
Engineering, Environmental
Chuanzhen Zhang, Baojing Gu, Xia Liang, Shu Kee Lam, Yi Zhou, Deli Chen
Summary: Reactive nitrogen is crucial for agriculture and human nutrition, but mismanagement can have detrimental effects on human health and ecosystem services, hindering the achievement of the 2030 Sustainable Development Goals. Progress towards nitrogen-related targets varies across countries, highlighting the need for integrated management to achieve overall synergies.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Alessandro Gatto, Marijke Kuiper, Corina van Middelaar, Hans van Meijl
Summary: This study examines the economic and environmental effects of transitioning towards more circular food systems in the European Union (EU27) by feeding animals with low-opportunity-cost feed and better utilizing local feed resources. The results show that providing subsidies for circularity and promoting the use of low-cost feed can increase animal production, but also have negative impacts on land use and emissions. On the other hand, promoting domestic feed sourcing through import tariffs can decrease animal production and greenhouse gas emissions in agriculture. However, complementary policies are needed to mitigate drawbacks and enhance benefits of a more circular agri-food system.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Jinbo Zhang, Liu Chen, Yulei Xie, Pingjian Yang, Zheng Li, Huaicheng Guo, Yang Zhang, Lirong Liu
Summary: This study examines the impact of carbon taxes on low-carbon development and climate change mitigation. By constructing a cross-system bi-layer model, the study finds that reasonable carbon taxes can promote the stability of the energy network, reduce carbon emissions and air pollutants, and optimize production efficiency and the structure of the energy system. This study contributes to a better understanding of the effects and implementation pathways of carbon taxes.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Konstantin Born, Mehmet Metehan Ciftci
Summary: Increasing recycling of metals is important for reducing reliance on mining, but it cannot fully meet future metal demand. Primary production of metals is expected to continue rising, highlighting the need for alternative circular economy strategies such as demand reduction and mitigating harmful impacts of primary metal production.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Yinqiu Ma, Lin Huang, Jiahui Li, Wei Cao, Yumei Cai
Summary: Afforestation and reforestation, such as China's Grain for Green Program, have shown to effectively mitigate greenhouse gas emissions and contribute to carbon sink capacity. This study highlights the significant carbon potential of the program and its potential application in other countries to reduce CO2 in the atmosphere.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Arlind Dervishaj, Kjartan Gudmundsson
Summary: This paper reviews digital tools for supporting the Circular Economy (CE) in the built environment and provides suggestions. The study identifies limitations in the functionalities of current tools, including a lack of representative data for LCA and underdeveloped circularity indicators. Further development is needed in terms of interoperability aspects, integration of more sources of data for LCA and circularity, and possibilities for a comprehensive evaluation of design choices.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Mohamadreza Y. Azarfam, Anuj Maheshwari, Frank D. Blum, Siddhesh Chaudhari, Clinton Switzer, Ranji Vaidyanathan, Jay C. Hanan, Sudheer Bandla
Summary: This study introduces a feasible method for manufacturing recycled composites using post-consumer carpets and recycled resin. The resulting composites have impressive strength and modulus, surpassing commercial thermoplastics and making them suitable for structural applications. This research presents a promising approach to address carpet landfilling and reduce reliance on additives.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Pujiang Shi, Tianle Huang, Hong Kit Lim, Chiew Kei Tan, Jong-Min Lee, Chor Yong Tay
Summary: This study developed a highly porous bioadaptive 3D sponge-like construct from plastic materials in discarded keyboards for advanced in vitro applications. The findings demonstrate the potential of using discarded keyboards as a waste-to-resource feedstock to achieve waste reduction and maximize value-capture.
RESOURCES CONSERVATION AND RECYCLING
(2024)
Article
Engineering, Environmental
Kuo-Jui Wu, Hailing Qiu, Caiyan Huang, Anthony S. F. Chiu, Ming-Lang Tseng
Summary: Government resource allocation practices for achieving carbon neutrality should be guided by dynamic system theory to identify potential dynamics. Carbon intensity control dynamics have a significant influence on other dynamics.
RESOURCES CONSERVATION AND RECYCLING
(2024)
