Article
Computer Science, Information Systems
Zhou-Jing Wang
Summary: This paper analyzes deficiencies in recent fuzzy eigenvector methods and introduces two frameworks of additively normalized triangular fuzzy priorities (ANTFPs) to characterize equivalent fuzzy priority vectors. By establishing three eigenproblems with positive real matrices and developing an eigenvector based linear program, the study aims to obtain support interval based ANTFPs from fuzzy multiplicative preference relation matrices.
INFORMATION SCIENCES
(2021)
Article
Computer Science, Artificial Intelligence
Zhou-Jing Wang
Summary: This study develops a modeling method for triangular fuzzy multiplicative preference relations and proposes an index for measuring the consistency of TFMPRs, as well as two logarithmic least square models. A comparative analysis is conducted through a numerical example to clarify the effectiveness and advantages of the proposed method, and the practicality of the proposed triangular FAHP approach is demonstrated.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Mathematics
Jih-Jeng Huang
Summary: The study combines AHP with WordNet to handle the correlation between criteria, deriving independent factor weights and comparing with traditional AHP method through an online shopping case study.
Article
Computer Science, Artificial Intelligence
Ayse Ovgu Kinay, Baris Tekin Tezel
Summary: The study proposes two different FAHP methods based on fuzzy numbers ranking methods, among them the MFAHP outperforms other methods in terms of accurate weight and computational load.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2022)
Article
Computer Science, Information Systems
Jiuying Dong, Shuping Wan, Shyi-Ming Chen
Summary: This paper introduces a new fuzzy best-worst method based on triangular fuzzy numbers for multi-criteria decision-making. Mathematical programming models are constructed to derive optimal fuzzy weights of criteria and four linear programming models are proposed for different types of decision makers. The concept of fuzzy consistency index and ratio are also proposed and validated through application examples.
INFORMATION SCIENCES
(2021)
Article
Green & Sustainable Science & Technology
Hosein Arman
Summary: Different FAHP methods have been developed for conventional FNs, but they fail to accurately reflect experts' preferences and may cause misleading results. To overcome this, we propose four FAHP methods for PFNs and introduce an indirect defuzzification method for calculating fuzzy local weights. Numerical examples and a real-life case of supplier ranking based on PFNs are provided to demonstrate the effectiveness of the proposed methods.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Computer Science, Information Systems
Shervin Zakeri, Dimitri Konstantas, Reidar Brumer Bratvold, Dragan Pamucar
Summary: This paper presents the Triangular Fuzzy-Grey (TFG) system as an innovative approach for multi-criteria decision-making (MCDM) problems. The TFG system integrates grey systems and fuzzy numbers to effectively handle uncertainty in supplier selection. An integrated TFG WLD-SAW model is proposed for green supplier selection, and the results show that it achieves similar outcomes to fuzzy and grey WLD methods.
Article
Computer Science, Artificial Intelligence
Haoyang Cui, Hui Zhang, Lei Zhou, Chunming Yang, Bo Li, Xujian Zhao
Summary: This paper tries to combine experts' judgments with algorithmic judgments to improve the bias of experts' judgments while still making decision-making flexible. The authors introduce the ordered pair of normalized real numbers (OPNs) into the AHP method for the first time and propose the fuzzy analytic hierarchy process with the OPNs (OFAHP). Experiments on real data sets show that the proposed method can get reasonable decision results, and the machine learning algorithm can correct the experts' judgments to obtain a reasonable decision-making result when the experts' judgments are wrong or invalid.
Article
Computer Science, Artificial Intelligence
Antonio Francisco Roldan Lopez de Hierro, Humberto Bustince, Maria del Mar Rueda, Concepcion Roldan, Laura De Miguel, Carlos Guerra
Summary: In this paper, a fuzzy dispersion measure associated with a finite set of data given by fuzzy numbers is introduced based on the analysis of the most widely used dispersion measure in the real context. This measure is implemented as a fuzzy number, so no information loss is caused by defuzzification. The proposed concept satisfies the usual properties in a genuinely fuzzy sense and removes limitations in terms of geometric shape or analytical properties, allowing negative values in its support. The new notion is a way of fusing information in a fuzzy dataset to make decisions based on dispersion.
INFORMATION FUSION
(2023)
Article
Engineering, Marine
H. Diaz, A. P. Teixeira, C. Guedes Soares
Summary: A Monte Carlo simulation procedure is developed to select the optimum location of wind farms by combining major decision criteria and subjective judgments from decision-makers. The method utilizes Monte Carlo simulation, conventional Analytic Hierarchy Process, and Fuzzy Analytic Hierarchy Process. It is applied to offshore wind farms in Spain to rank the most suitable turbine positioning locations.
Article
Mathematics
Saeid Jafarzadeh Ghoushchi, Elnaz Osgooei, Gholamreza Haseli, Hana Tomaskova
Summary: New methods for solving fully fuzzy linear programming (FFLP) problems have been recommended recently. This study proposes a new approach utilizing triangular fuzzy numbers for fuzzy decision parameters and variables to tackle FFLP problems. By incorporating alpha-cut theory and modified triangular fuzzy numbers, the strategy aims to optimize decision variables and the objective function to obtain the optimal fully fuzzy solution for real-world problems. Multiple numerical examples are solved to demonstrate the effectiveness of this method.
Article
Computer Science, Artificial Intelligence
Hosein Arman, Abdollah Hadi-Vencheh, Aref Arman, Abbas Moslehi
Summary: This study extends methods for extracting local weights to the fuzzy analytic hierarchy process and proposes an approach to integrate different local weights. By indirectly defuzzifying uncommon fuzzy numbers, the applicability of multi-attribute decision-making methods is extended.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Yin-Fang Ye, Deng-Feng Li
Summary: This article develops a direct and simplified approach for computing triangular fuzzy Banzhaf values for a special class of cooperative games. By combining with the beta-cut sets of coalitions' triangular fuzzy values, a series of interval-valued cooperative games associated with the triangular fuzzy cooperative games are obtained.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Velu Lakshmana Gomathi Nayagam, Jagadeeswari Murugan
Summary: This paper introduces the weighted triangular approximation process of a new type of intuitionistic fuzzy number with bounded membership function and bounded nonmembership function, and discusses some useful properties of the approximation on intuitionistic fuzzy numbers.
Article
Automation & Control Systems
Xiaofeng Chen, Yanting Fang, Junyi Chai, Zeshui Xu
Summary: This paper investigates the integration of intuitionistic fuzzy (IF) sets and Analytical Hierarchy Process (AHP) to maximize advantages. Quantitative differences between AHP weights and normalized defuzzified IF-AHP weights are illustrated, revealing qualitative and quantitative disparities between AHP and IF-AHP. The study identifies conditions and strategies for utilizing IF-AHP over AHP, with data experiments and case studies for validation.
INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
(2022)
Article
Environmental Sciences
Muhammad Waqas, Majid Nazeer, Man Sing Wong, Wu Shaolin, Li Hon, Joon Heo
Summary: The socio-economic restriction measures implemented in the United States have significantly reduced nitrogen dioxide (NO2) emissions. The study highlights the impact of factors such as human mobility, population density, income, climate, and stationary sources on the reduction of NO2 at different stations. The research emphasizes the scientific impacts of the NO2 reduction and income inequality revealed by the pandemic on air quality and health disparities.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Guorui Zhi, Jinhong Du, Aizhong Chen, Wenjing Jin, Na Ying, Zhihui Huang, Peng Xu, Di Wang, Jinghua Ma, Yuzhe Zhang, Jiabao Qu, Hao Zhang, Li Yang, Zhanyun Ma, Yanjun Ren, Hongyan Dang, Jianglong Cui, Pengchuan Lin, Zhuoshi He, Jinmin Zhao, Shuo Qi, Weiqi Zhang, Wenjuan Zhao, Yingxin Li, Qian Liu, Chen Zhao, Yi Tang, Peng Wei, Jingxu Wang, Zhen Song, Yao Kong, Xiangzhe Zhu, Yi Shen, Tianning Zhang, Yangxi Chu, Xinmin Zhang, Jiafeng Fu, Qingxian Gao, Jingnan Hu, Zhigang Xue
Summary: An comprehensive emission inventory for China in 2019, which includes both air pollutants and greenhouse gases, was developed in this study. The inventory utilizes existing frameworks and data to provide comparable emissions data and demonstrates the relationship between emissions and economic development.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
I-Ting Ku, Yong Zhou, Arsineh Hecobian, Katherine Benedict, Brent Buck, Emily Lachenmayer, Bryan Terry, Morgan Frazier, Jie Zhang, Da Pan, Lena Low, Amy Sullivan, Jeffrey L. Collett Jr
Summary: Unconventional oil and natural gas development (UOGD) in the United States has expanded rapidly in recent decades, raising concerns about its impact on air quality. This study conducted extensive air monitoring during the development of several large well pads in Broomfield, Colorado, providing a unique opportunity to examine changes in local air toxics and VOC concentrations during well drilling and completions and production. The study identified significant increases in VOC concentrations during drilling operations, highlighting the importance of emissions from synthetic drilling mud. The findings suggest opportunities to mitigate emissions during UOGD operations.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Puji Lestari, Akbar R. Tasrifani, Wiranda I. Suri, Martin J. Wooster, Mark J. Grosvenor, Yusuke Fujii, Vissia Ardiyani, Elisa Carboni, Gareth Thomas
Summary: This study developed field emission factors for various pollutants in peatland fires and estimated the total emissions. Gas samples were collected using an analyzer, while particulate samples were collected using air samplers. The study found significant emissions of CO2, CO, PM2.5, carbon aerosols, water-soluble ions, and elements from the fires in Central Kalimantan, Indonesia in 2019.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Ligang Li, Yuyu Chen, Lu Fan, Dong Sun, Hu He, Yongshou Dai, Yong Wan, Fangfang Chen
Summary: A high-precision retrieval method based on a deep convolutional neural network and satellite remote sensing data is proposed to obtain accurate methane vertical profiles.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Hyung Joo Lee, Toshihiro Kuwayama, Michael Fitzgibbon
Summary: This study investigated the changes in nitrogen dioxide (NO2) air pollution levels and their disparities in California, U.S. during the pandemic of coronavirus disease 2019 (COVID-19). The results showed a decrease in NO2 concentrations, especially in urban and high-traffic areas. However, socially vulnerable populations still experienced higher levels of NO2 exposure. The study suggests that reducing NO2 disparities, particularly racial inequity, can be achieved through continued regulatory actions targeting traffic-related NOx emissions.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Maria Chiara Pietrogrande, Beatrice Biffi, Cristina Colombi, Eleonora Cuccia, Umberto Dal Santo, Luisa Romanato
Summary: This study investigates the chemical composition and oxidative potential of PM10 particles in the Po Valley, Italy, and demonstrates the impact of high levels of atmosphere ammonia. The rural area had significantly higher ammonia concentrations compared to the urban site, resulting in higher levels of secondary inorganic aerosol. Although the SIA components did not contribute significantly to the PM10 oxidative reactivity, they were correlated with the oxidative potential measurements. This suggests that the contribution of SIA to PM oxidative toxicity cannot be ignored.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Natalie Allen, Jan Gacnik, Sarrah M. Dunham-Cheatham, Mae Sexauer Gustin
Summary: Accurate measurement of atmospheric reactive mercury is challenging due to its reactivity and low concentrations. The University of Nevada, Reno Reactive Mercury Active System (RMAS) has been shown to be more accurate than the industry standard, but has limitations including long time resolution and sampling biases. Increasing the sampling flow rate negatively affected RM concentrations, but did not impact the chemical composition of RM captured on membranes.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Chin-Yu Hsu, Wei-Ting Hsu, Ching-Yi Mou, Pei-Yi Wong, Chih-Da Wu, Yu-Cheng Chen
Summary: This study estimated the daily exposure concentrations of PM2.5 for elderly individuals residing in different regions of Taiwan using land use regression with machine learning (LUR_ML) and microenvironmental exposure (ME) models. The accuracy of the models varied across regions, with the ME models exhibiting higher predictions and lower biases. The use of region-specific microenvironmental measurements in the ME model showed potential for accurate prediction of personal PM2.5 exposure.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Xiaohan Si, Kerrie Mengersen, Chuchu Ye, Wenbiao Hu
Summary: This study found that there is an interactive effect between air pollutants and weather factors, which significantly affects influenza transmission. Future research should consider the interactive effects between pollutants and temperature or humidity to evaluate the environment-influenza association.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Luxi Xu, Ruijun Xu, Yunshao Ye, Rui Wang, Jing Wei, Chunxiang Shi, Qiaoxuan Lin, Ziquan Lv, Suli Huang, Qi Tian, Yuewei Liu
Summary: This study aimed to evaluate the impact of ambient air pollution on hospital admissions for angina. The results showed that exposure to ambient particulate matter, sulfur dioxide, nitrogen dioxide, carbon monoxide, and ozone are associated with an increased risk of hospital admissions for angina. The association with nitrogen dioxide exposure was found to be the strongest.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Xinyu Yu, Man Sing Wong, Majid Nazeer, Zhengqiang Li, Coco Yin Tung Kwok
Summary: This study proposes a novel method to address the challenge of missing values in satellite-derived AOD products and creates a comprehensive daily AOD dataset for the Guangdong-Hong Kong-Macao Greater Bay Area. By reconstructing missing values and developing a new model, the derived dataset outperforms existing products and agrees well with ground-based observations. Additionally, the dataset exhibits consistent temporal patterns and more spatial details.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Yidan Zhang, Yifan Xu, Bo Peng, Wu Chen, Xiaoyu Cui, Tianle Zhang, Xi Chen, Yuan Yao, Mingjin Wang, Junyi Liu, Mei Zheng, Tong Zhu
Summary: This study developed a sensitive method to measure the metallic components of atmospheric fine particulate matter (PM2.5) and compared the results with different analysis methods. The concentrations of metallic components in personal PM2.5 samples were found to be significantly different from corresponding fixed-site samples. Personal sampling can reduce exposure misclassifications, and measuring metallic components is useful for exploring health risks and identifying sources of PM2.5.
ATMOSPHERIC ENVIRONMENT
(2024)
Review
Environmental Sciences
Jamie Leonard, Lea Ann El Rassi, Mona Abdul Samad, Samantha Prehn, Sanjay K. Mohanty
Summary: Increasing concentrations of microplastics in the Earth's atmosphere could have adverse effects on ecosystems and human health. The deposition rate of airborne microplastics is influenced by both land use and climate, and a global analysis suggests that climate may have a greater impact on the concentration and deposition rate of microplastics than land use.
ATMOSPHERIC ENVIRONMENT
(2024)
Article
Environmental Sciences
Tian Zhou, Xiaowen Zhou, Zining Yang, Carmen Cordoba-Jabonero, Yufei Wang, Zhongwei Huang, Pengbo Da, Qiju Luo, Zhijuan Zhang, Jinsen Shi, Jianrong Bi, Hocine Alikhodja
Summary: This study investigated the long-range transport and effects of North African and Middle Eastern dust in East Asia using lidar observations and model simulations. The results showed that the dust originated from multiple sources and had a long transport time. The vertical distribution of the dust was found to be crucial for assessing its impacts.
ATMOSPHERIC ENVIRONMENT
(2024)