Article
Automation & Control Systems
Sumera Naz, Aqsa Shafiq, Shariq Aziz Butt, Rabia Ijaz
Summary: Sentiment analysis is a process that uses algorithms to identify and categorize opinions expressed in text. It helps companies understand their customers' perceptions of their brand by classifying words as positive, negative, or neutral. This technique is closely related to computer science and software, playing a vital role in decision-making and problem-solving processes.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Computer Science, Information Systems
Swati Rani Hait, Bapi Dutta, Debashree Guha, Debjani Chakraborty
Summary: The study focuses on extending the application of the Bonferroni mean operator by generalizing the relationship patterns among data entities. An improved version of the BM operator, called the f BM G operator, is proposed, which portrays unconventional associations among data entities through graphical patterns. The f BM G operator embeds the interactional information depicted through graphs into its processing system to capture precise interconnections among entities. A generalized variation of the f BM G operator is also proposed to meet the mandatory prerequisites of decision systems, and a detailed analysis and numerical example are provided to demonstrate their efficiency.
INFORMATION SCIENCES
(2022)
Article
Environmental Sciences
Huimin Li, Yongchao Cao, Limin Su, Fuqiang Wang
Summary: This study develops a PDSWTP selection model by combining the advantages of Pythagorean fuzzy sets and Bonferroni mean operators to deal with related-indicators case. By constructing a selection framework and demonstrating a practice example, the effectiveness and feasibility of the model are shown.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Computer Science, Artificial Intelligence
Peide Liu, Weiqiao Liu
Summary: The paper introduces the dual generalized weighted Bonferroni mean operator and the dual generalized weighted Bonferroni geometric mean operator for 2DULVs, aiming to handle multi-attribute decision making problems. By combining different operators, the approach demonstrates validity and superiority through illustrative examples and comparisons with other methods.
ARTIFICIAL INTELLIGENCE REVIEW
(2021)
Article
Multidisciplinary Sciences
Miin-Shen Yang, Zeeshan Ali, Tahir Mahmood
Summary: This paper introduces complex q-rung orthopair uncertain linguistic sets (CQROULSs) and related operators for handling multi-attribute decision making (MADM) issues, with properties such as idempotency, boundedness, and commutativity. The proposed method is innovative and important for MADM problems.
Article
Multidisciplinary Sciences
Yuan Xu, Shifeng Liu, Jun Wang
Summary: This study focuses on the application of interval-valued q-rung orthopair fuzzy sets in multiple-attribute group decision-making problems, proposing a new definition of interval-valued q-rung orthopair uncertain linguistic sets and a model framework. Through comparative analysis, the performance and advantages of the new method are demonstrated.
Article
Automation & Control Systems
Sayanta Chakraborty, Apu Kumar Saha
Summary: The proposed Multi-Criteria Group Decision Making (MCGDM) method based on Fermatean fuzzy set has been applied to determine the optimal Health Care Waste (HCW) treatment technologies (TT) for sustainable environmental development. The method considers six TTs as alternatives and nine criteria for evaluation. The proposed technique shows competitiveness and stability through an empirical case study of district hospitals in Tripura, India.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Computer Science, Artificial Intelligence
Weifeng Liu, Juan Chang, Xia He
Summary: Bonferroni mean is an important aggregation operator in decision making that captures the interrelationship between aggregation arguments. Existing methods have drawbacks, but our proposed normalized weighted geometric Bonferroni mean overcomes these issues and extends to the intuitionistic fuzzy decision environment.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Abhijit Saha, Harish Garg, Debjit Dutta
Summary: This study proposed a multicriteria group decision-making methodology based on probabilistic linguistic q-rung orthopair fuzzy sets, introducing two new operators and discussing methods for calculating subjective and objective weights of experts, as well as measuring criteria weights. The stability of the model was validated through a case study and sensitivity analysis, and comparisons were made with other existing schemes.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Tahir Mahmood, Muhammad Ahsen, Zeeshan Ali
Summary: Picture hesitant fuzzy sets are a valuable tool for expressing uncertain information, surpassing intuitionistic fuzzy sets and hesitant fuzzy sets in certain aspects. The proposed picture hesitant fuzzy mean operators offer a new method for dealing with decision-making in uncertain environments, with demonstrated effectiveness and superiority in practical examples.
Article
Computer Science, Artificial Intelligence
Xiaoming Qi, Zeeshan Ali, Tahir Mahmood, Peide Liu
Summary: MULTIMOORA is a recent MADM technique with three major parts and partial/complete aggregation information. It evaluates the theory of CPFUL settings and utilizes their useful properties. The combination of MM operators and CPFUL theory leads to the diagnosis of CPFULMM, CPFULWMM, CPFULDMM, and CPFULDWMM operators, along with their valuable properties. The extension of the MULTIMOORA method under CPFUL information enhances its worth and feasibility, allowing for the diagnosis of MADM scenarios using CPFUL set theory. Numerical examples demonstrate the flexibility and feasibility of the presented information when compared to older operators.
APPLIED INTELLIGENCE
(2023)
Article
Computer Science, Artificial Intelligence
Pankaj Kakati
Summary: This paper introduces a new operator for handling multi-criteria decision-making problems in real-life situations, discussing its properties and developing a corresponding decision-making method. The application of this method is demonstrated through a numerical example.
NEURAL PROCESSING LETTERS
(2021)
Article
Computer Science, Artificial Intelligence
Irfan Deli
Summary: This work investigates multiple attribute decision-making problems with generalized trapezoidal hesitant fuzzy numbers, developing aggregation techniques and decision-making methods for analyzing and discussing decision processes under generalized trapezoidal hesitant fuzzy environments. The proposed approaches based on Bonferroni aggregation operators are applied to multicriteria decision making, with practical examples provided to illustrate the results, followed by a comparative analysis with existing methods.
Article
Mathematics
Wenying Wu, Zhiwei Ni, Feifei Jin, Jian Wu, Ying Li, Ping Li
Summary: A multiattribute group decision making method based on the generalized probabilistic hesitant fuzzy Bonferroni mean operator is proposed in this study to help decision-makers select appropriate parameters, and special aggregation operators for handling various parameter values are developed. The effectiveness and rationality of the method are validated through an investment case study.
Article
Mathematics
Yuki Seo
Summary: In this paper, upper boundary estimates for the ratio between n-variable operator power means P-t(omega; A) were derived based on a generalized condition number in the sense of Turing. These estimates are partial improvements of known results and provide an upper bound for the Karcher mean of the operators A = (A(1), ..., A(n)).
MATHEMATICAL INEQUALITIES & APPLICATIONS
(2021)
Article
Engineering, Multidisciplinary
A. A. Aganin, A. I. Davletshin
Summary: A mathematical model of interaction of weakly non-spherical gas bubbles in liquid is proposed in this paper. The model equations are more accurate and compact compared to existing analogs. Five problems are considered for validation, and the results show good agreement with experimental data and numerical solutions. The model is also used to analyze the behavior of bubbles in different clusters, providing meaningful insights.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Hao Wu, Jie Sun, Wen Peng, Lei Jin, Dianhua Zhang
Summary: This study establishes an analytical model for the coupling of temperature, deformation, and residual stress to explore the mechanism of residual stress formation in hot-rolled strip and how to control it. The accuracy of the model is verified by comparing it with a finite element model, and a method to calculate the critical exit crown ratio to maintain strip flatness is proposed.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Shengwen Tu, Naoki Morita, Tsutomu Fukui, Kazuki Shibanuma
Summary: This study aimed to extend the finite element method to cope with elastic-plastic problems by introducing the s-version FEM. The s-version FEM, which overlays a set of local mesh with fine element size on the conventional FE mesh, simplifies domain discretisation and provides accurate numerical predictions. Previous applications of the s-version FEM were limited to elastic problems, lacking instructions for stress update in plasticity. This study presents detailed instructions and formulations for addressing plasticity problems with the s-version FEM and analyzes a stress concentration problem with linear/nonlinear material properties.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Bo Fan, Zhongmin Wang
Summary: A 3D rotating hyperelastic composite REF model was proposed to analyze the influence of tread structure and rotating angular speed on the vibration characteristics of radial tire. Nonlinear dynamic differential equations and modal equations were established to study the effects of internal pressure, tread pressure sharing ratio, belt structure, and rotating angular speed on the vibration characteristics.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
X. W. Chen, Z. Q. Yue, Wendal Victor Yue
Summary: This paper examines the axisymmetric problem of a flat mixed-mode annular crack near and parallel to an arbitrarily graded interface in functionally graded materials (FGMs). The crack is modeled as plane circular dislocation loop and an efficient solution for dislocation in FGMs is used to calculate the stress field at the crack plane. The analytical solutions of the stress intensity factors are obtained and numerical study is conducted to investigate the fracture mechanics of annular crack in FGMs.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Xumin Guo, Jianfei Gu, Hui Li, Kaihua Sun, Xin Wang, Bingjie Zhang, Rangwei Zhang, Dongwu Gao, Junzhe Lin, Bo Wang, Zhong Luo, Wei Sun, Hui Ma
Summary: In this study, a novel approach combining the transfer matrix method and lumped parameter method is proposed to analyze the vibration response of aero-engine pipelines under base harmonic and random excitations. The characteristics of the pipelines are investigated through simulation and experiments, validating the effectiveness of the proposed method.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Xiangyu Sha, Aizhong Lu, Ning Zhang
Summary: This paper investigates the stress and displacement of a layered soil with a fractional-order viscoelastic model under time-varying loads. The correctness of the solutions is validated using numerical methods and comparison with existing literature. The research findings are of significant importance for exploring soil behavior and its engineering applications under time-varying loads.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Thuy Dong Dang, Thi Kieu My Do, Minh Duc Vu, Ngoc Ly Le, Tho Hung Vu, Hoai Nam Vu
Summary: This paper investigates the nonlinear torsional buckling of corrugated core sandwich toroidal shell segments with functionally graded graphene-reinforced composite (FG-GRC) laminated coatings in temperature change using the Ritz energy method. The results show the significant beneficial effects of FG-GRC laminated coatings and corrugated core on the nonlinear buckling responses of structures.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Zhihao Zhai, Chengbiao Cai, Qinglai Zhang, Shengyang Zhu
Summary: This paper investigates the effect of localized cracks induced by environmental factors on the dynamic performance and service life of ballastless track in high-speed railways. A mathematical approach for forced vibrations of Mindlin plates with a side crack is derived and implemented into a train-track coupled dynamic system. The accuracy of this approach is verified by comparing with simulation and experimental results, and the dynamic behavior of the side crack under different conditions is analyzed.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
James Vidler, Andrei Kotousov, Ching-Tai Ng
Summary: The far-field methodology, developed by J.C. Maxwell, is utilized to estimate the effective third order elastic constants of composite media containing random distribution of spherical particles. The results agree with previous studies and can be applied to homogenization problems in other fields.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Kim Q. Tran, Tien-Dat Hoang, Jaehong Lee, H. Nguyen-Xuan
Summary: This study presents novel frameworks for graphene platelets reinforced functionally graded triply periodic minimal surface (GPLR-FG-TPMS) plates and investigates their performance through static and free vibration analyses. The results show that the mass density framework has potential for comparing different porous cores and provides a low weight and high stiffness-to-weight ratio. Primitive plates exhibit superior performance among thick plates.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Bence Hauck, Andras Szekrenyes
Summary: This study explores several methods for computing the J-integral in laminated composite plate structures with delamination. It introduces two special types of plate finite elements and a numerical algorithm. The study presents compact formulations for calculating the J-integral and applies matrix multiplication to take advantage of plate transition elements. The models and algorithms are applied to case studies and compared with analytical and previously used finite element solutions.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Wu Ce Xing, Jiaxing Wang, Yan Qing Wang
Summary: This paper proposes an effective mathematical model for bolted flange joints to study their vibration characteristics. By modeling the flange and bolted joints, governing equations are derived. Experimental studies confirm that the model can accurately predict the vibration characteristics of multiple-plate structures.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Pingchao Yu, Li Hou, Ke Jiang, Zihan Jiang, Xuanjun Tao
Summary: This paper investigates the imbalance problem in rotating machinery and finds that mass imbalance can induce lateral-torsional coupling vibration. By developing a model and conducting detailed analysis, it is discovered that mass imbalance leads to nonlinear time-varying characteristics and there is no steady-state torsional vibration in small unbalanced rotors. Under largely unbalanced conditions, both resonant and unstable behavior can be observed, and increasing lateral damping can suppress instability and reduce lateral amplitude in the resonance region.
APPLIED MATHEMATICAL MODELLING
(2024)
Article
Engineering, Multidisciplinary
Yong Cao, Ziwen Guo, Yilin Qu
Summary: This paper investigates the mechanically induced electric potential and charge redistribution in a piezoelectric semiconductor cylindrical shell. The results show that doping levels can affect the electric potentials and mechanical displacements, and alter the peak position of the zeroth-order electric potential. The doping level also has an inhibiting effect on the first natural frequency. These findings are crucial for optimizing the design and performance of cylindrical shell-shaped sensors and energy harvesters.
APPLIED MATHEMATICAL MODELLING
(2024)
