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Sustainable food waste management using modified fuzzy improved analytic hierarchy process:a study of Malaysia

Waste Disposal and Sustainable Energy 2024年第1期6卷 63-84页

作者： Chun Yuan Choo Syariza Abdul-Rahman Abdul Malek Yaakob Emy E.A-Jalil Department of decision Science School of Quantitative SciencesUniversiti Utara Malaysia06010SintokKedahMalaysia Institute of Strategic Industrial decision Modeling School of Quantitative SciencesCollege of Arts and SciencesUniversiti Utara Malaysia06010SintokKedahMalaysia Technology and Supply Chain Excellence Institute School of Technology Management and LogisticsUniversiti Utara Malaysia06010SintokKedahMalaysia

Food waste generation is a pressing issue that requires urgent attention and concerted efforts *** staggering amount of food wasted each year not only wastes valuable resources but also exacerbates environmental,economic,and social *** Waste Management(FWM)consists of a complex array of criteria and sub-criteria,and treatments which seems *** is a need to evaluate the FWM with the help of important criteria and sub-criteria and treatments to address this *** this study,we identified four important criteria,21 sub-criteria,and four alternatives of FWM for the case of Malaysia using the integrated approach of literature review and expert ***,we employed the approach of Modified Fuzzy Improved Analytical Hierarchy Process(IAHP)to corroborate the interrelationships among the identified criteria and sub-criteria,and their associated *** study undertakes linear normalization methods to transform data into comparable numerical values and the Geometric Mean method to handle uncertainty in human ***,the Centroid method is employed to convert fuzzy weights into crisp sets for ease of *** results indicate that environmental is the most essential criterion,followed by social,economic,and *** addition,air and water pollution is identified as the most critical *** Soldier Fly is discovered as the most sustainable FWM treatment,since it performs the best while meeting all the criteria and sub-criteria *** analysis demonstrates that the outputs from the proposed method are robust and *** finding suggests a proper and robust approach to help decision-makers select suitable FWM treatments to tackle various criteria and alternatives especially when handling inconsistent and uncertain judgments during evaluation.

关键词： Multi-criteria decision-making Sustainable food waste management Improved Analytical Hierarchy Process Fuzzy method Sensitivity analysis

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Tanaka Formula and Local Time for a Class of Interacting Branching Measure-valued Diffusions

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Acta Mathematica Sinica,English Series 2024年第4期40卷 1059-1098页

作者： Donald A.DAWSON Jean VAILLANCOURT Hao WANG School of Mathematics and Statistics Carleton UniversityOttawaCanada Department of decision sciences HECMontrealCanada Department of Mathematics University of OregonEugeneUSA

We construct superprocesses with dependent spatial motion(SDSMs)in Euclidean spaces R^(d)with d≥1 and show that,even when they start at some unbounded initial positive Radon measure such as Lebesgue measure on R^(d),... 详细信息

关键词： Measure-valued diffusions stochastic partial differential equations superprocesses branching processes local time Tanaka formula

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Density peak clustering using tensor network

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Science China(Information sciences) 2024年第3期67卷 321-322页

作者： Xiao SHI Yun SHANG Institute of Mathematics Academy of Mathematics and Systems ScienceChinese Academy of Sciences School of Mathematical sciences University of Chinese Academy of Sciences National Center for Mathematics and Interdisciplinary sciences Key Laboratory of ManagementDecision and Information SystemsAcademy of Mathematics and Systems ScienceChinese Academy of Sciences

Tensor networks have been a powerful tool in simulating many-body physics and have recently gained recognition in the machine learning community due to their remarkable representation capabilities. However, using tens... 详细信息

关键词： Tensors

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An Integrated External Archive Local Disturbance Mechanism for Multi-Objective Snake Optimizer

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Chinese Journal of Electronics 2024年第4期33卷 989-996页

作者： Leifu GAO Zheng LIU Institute for Optimization and decision Analytics Liaoning Technical University

It is an interesting research direction to develop new multi-objective optimization algorithms based on meta-heuristics. Both the convergence accuracy and population diversity of existing methods are not *** paper proposes an integrated external archive local disturbance mechanism for multi-objective snake optimizer(IMOSO) to overcome the above shortcomings. There are two improved strategies. The adaptive mating between subpopulations strategy introduces the special mating behavior of snakes with multiple husbands and wives into the original snake optimizer. Some positions are updated according to the dominated relationships between the newly created individuals and the original individuals. The external archive local disturbance mechanism is used to re-search partial non-inferior solutions with poor diversities. The perturbed solutions are non-dominated sorting with the generated solutions by the next iteration to update the next external archive. The main purpose of this mechanism is to make full use of the non-inferior solution information to better guide the population evolution. The comparison results of the IMOSO and 7 state-of-the-art algorithms on WFG benchmark functions show that IMOSO has better convergence and population diversity.

关键词： Accuracy Sociology Metaheuristics Diversity methods Benchmark testing Statistics Convergence

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Mental health in organizations from a healthcare analytics framework:taxonomic model,trends,and impact of COVID-19

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Journal of Management Analytics 2024年第1期11卷 62-86页

作者： Jorge Iván Pérez Rave Carlos Mario Zapata Jaramillo Gloria Patricia Jaramillo Álvarez IDINNOV research group IDINNOV S.A.SMedellínColombia Department of Computing and decision sciences Universidad Nacional de ColombiaMedellínColombia

Mental disorders negatively affect employee well-being and organizational *** face a challenge in terms of how to manage mental *** paper clarifies three issues(underlying patterns,trends,and impact of COVID-19)regarding the scientific study of mental health in organizations from a healthcare analytics *** framework comprises eight stages considering a text-driven approach with scientific corpora assisted by linguistic/computational and statistical *** study discovers a new taxonomic model comprising five patterns in the scientific discourse on the *** analyses reveal imbalances and concerns regarding the interests associated with the patterns,which is reinforced by examining patterns“before”and“during”*** paper complements psychological/epidemiological studies on mental health in organizations from a healthcare analytics perspective.

关键词： Healthcare analytics healthcare management analytics mental health scientific discourse text analytics taxonomy COVID-19 management analytics

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Shear band evolution and acoustic emission characteristics of sandstone containing non-persistent flaws

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第2期16卷 497-513页

作者： Shuting Miao Peng-Zhi Pan Chuanqing Zhang Lei Huo State Key Laboratory of Geomechanics and Geotechnical Engineering Institute of Rock and Soil MechanicsChinese Academy of SciencesWuhan430071China University of Chinese Academy of sciences Beijing100049China CASIC Research Institute of Intelligent decision Engineering Wuhan430040China

Direct shear tests were conducted on sandstone specimens under different constant normal stresses to study the coalescence of cracks between non-persistent flaws and the shear sliding characteristics of the shear-formed *** image correlation and acoustic emission(AE)techniques were used to monitor the evolution of shear bands at the rock bridge area and microcracking *** experimental results revealed that the shear stresses corresponding to the peak and sub-peak in the stressdisplacement curve are significantly affected by the normal *** localization bands emerged at both the tip of joints and the rock bridge,and their extension and interaction near the peak stress caused a surge in the AE hit rate and a significant decrease in the AE b *** and curvilinear strain bands were detected at low normal stress,while high normal stress generally led to more microcracking events and longer coplanar cracks at the rock bridge ***,an increase in normal stress resulted in a higher AE count rate and more energetic AE events during friction sliding along the shearformed *** was observed that the elastic energy released during the crack coalescence at the prepeak stage was much greater than that released during friction sliding at the post-peak *** than 75%of AE events were located in the low-frequency band(0e100 kHz),and this proportion continued to rise with increasing normal ***,more AE events of low AF value and high RA value were observed in specimens subjected to high normal stress,indicating that greater normal stress led to more microcracks of shear nature.

关键词： Shear band evolution Acoustic emission(AE) Crack coalescence Normal stress Shear sliding

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Finite-time bearing-only formation of first-order multi-agent systems under pinning control

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Science China(Information sciences) 2024年第5期67卷 331-332页

作者： Chenjun LIU Wei ZHU Fenglan SUN Key Laboratory of Intelligent Analysis and decision on Complex Systems Chongqing University of Posts and Telecommunications

Formation control of multi-agent systems(MASs) has been applied in various fields, such as autonomous navigation and target encirclement, due to its ability to facilitate coordination and achieve the desired formation or space configuration. Bearing-based formation control offers greater practicality than position-based or distance-based approaches since bearing information is inexpensive and simple to acquire, such as utilizing optical cameras.

关键词： Multi agent systems

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Price Mechanism,Government Constraints and Carbon Trading Pilot Policy for Emission Reduction

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Data Intelligence 2024年第3期6卷 621-648页

作者： Wei Huang Haili Xue Qin Zhang Haoguang Liang University of Chinese Academy of sciences 100190China National Science Library Chinese Academy of Sciences100190China China Center for Modernization Research 100190China Beijing Key Laboratory of National Belt and Road Data Analysis and decision Support 100024China

Based on the data of 247 cities at the prefecture level in China from 2007 to 2019,this paper analyzes the impact of the carbon emissions trading(CET)pilot policy on carbon emission reduction from the perspective of the price mechanism and government *** results show that the carbon emissions and carbon intensity in the pilot areas are significantly reduced by adjusting the industrial structure and promoting green technology *** terms of regions,the emission reduction effect of the pilot policy in regions with a high proportion of industry is obviously weaker than that in other *** aim of the carbon emission trading policy in China that achieve carbon emission reduction is by coordinating the carbon emission trading price that fail to fulfill this aim independently and the degree of government punishment for enterprises.

关键词： Carbon emission reduction Double difference Price incentive mechanism Government restraint mechanism

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Continuous advantage learning for minimum-time trajectory planning of autonomous vehicles

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Science China(Information sciences) 2024年第7期67卷 285-294页

作者： Zhuo LI Weiran WU Jialin WANG Gang WANG Jian SUN School of Automation Beijing Institute of Technology Beijing Institute of Technology Chongqing Innovation Center China Academy of Launch Vehicle Technology Intelligent Game and Decision Laboratory

This paper investigates the minimum-time trajectory planning problem of an autonomous vehicle. To deal with unknown and uncertain dynamics of the vehicle, the trajectory planning problem is modeled as a Markov decision process with a continuous action space. To solve it, we propose a continuous advantage learning(CAL) algorithm based on the advantage-value equation, and adopt a stochastic policy in the form of multivariate Gaussian distribution to encourage exploration. A shared actor-critic architecture is designed to simultaneously approximate the stochastic policy and the value function, which greatly reduces the computation burden compared to general actor-critic methods. Moreover, the shared actor-critic is updated with a loss function built as mean square consistency error of the advantage-value equation, and the update step is performed several times at each time step to improve data efficiency. Simulations validate the effectiveness of the proposed CAL algorithm and its better performance than the soft actor-critic algorithm.

关键词： trajectory planning continuous advantage learning stochastic policy shared actor-critic

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A Review of Hybrid Cyber Threats Modelling and Detection Using Artificial Intelligence in IIoT

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Computer Modeling in Engineering & sciences 2024年第8期140卷 1233-1261页

作者： Yifan Liu Shancang Li Xinheng Wang Li Xu School of Computer Science and Informatics Cardiff UniversityCardiffCF244AGUK Department of Mechatronics and Robotics Xi’an Jiaotong-Liverpool UniversitySuzhou215123China Department of Information Technology&decision sciences Old Dominion UniversityNorfolk23529USA

The Industrial Internet of Things(IIoT)has brought numerous benefits,such as improved efficiency,smart analytics,and increased ***,it also exposes connected devices,users,applications,and data generated to cyber security threats that need to be *** work investigates hybrid cyber threats(HCTs),which are now working on an entirely new level with the increasingly adopted *** work focuses on emerging methods to model,detect,and defend against hybrid cyber attacks using machine learning(ML)***,a novel ML-based HCT modelling and analysis framework was proposed,in which L1 regularisation and Random Forest were used to cluster features and analyse the importance and impact of each feature in both individual threats and HCTs.A grey relation analysis-based model was employed to construct the correlation between IIoT components and different threats.

关键词： Cyber security Industrial Internet of Things artificial intelligence machine learning algorithms hybrid cyber threats

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