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23rd IEEE International Conference on Automation and Computing, ICAC 2017

作者： Yang, Jian-Bo Xu, Dong-Ling Decision and Cognitive Sciences Research Centre University of Manchester ManchesterM13 9SS United Kingdom Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei China

ISBN: (纸本)9780701702618

In this paper, we introduce the main concepts of a new maximum livelihood evidential reasoning (MAKER) framework for data-driven inferential modelling and decision making under different types of uncertainty. It consists of two types of model: state space model (SSM) and evidence space model (ESM), driven by the data that reflects the relationships between system inputs and output. SSM is constructed to describe different system states and changes. ESM is established by mapping data to a set of evidence that is partitioned into evidential elements each pointing to a system state set and together represents system behaviours in a probabilistic and distributed manner. The reliability of evidence and interdependence between a pair of evidence are explicitly measured. It is in the joint evidence-state space that multiple pieces of evidence with different degrees of interdependence and reliability are acquired from system inputs and combined to inference system output. A general optimal learning model is constructed, where evidence reliability can be learnt from historical data by maximising the likelihood of true state. In the MAKER framework, different types of uncertainty can be taken into account for inferential modelling, probabilistic prediction and decision making. © 2017 Chinese Automation and Computing Society in the UK - CACSUK.

关键词： decision making

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Ensemble Classifier Design Based on Perturbation Binary Salp Swarm Algorithm for Classification

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Computer Modeling in Engineering & Sciences 2023年第4期135卷 653-671页

作者： Xuhui Zhu Pingfan Xia Qizhi He Zhiwei Ni Liping Ni School of Management Hefei University of TechnologyHefei230009China School of Statistics Zhejiang Gongshang UniversityHangzhou310018China Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of EducationHefei230009China Collaborative Innovation Center for Statistical Data Engineering Technology and Application ZhejiangGongshang UniversityHangzhou310018China

Multiple classifier system exhibits strong classification capacity compared with single classifiers,but they require significant computational *** ensemble system aims to attain equivalent or better classification accuracy with fewer ***,current methods fail to identify precise solutions for constructing an ensemble *** this study,we propose an ensemble classifier design technique based on the perturbation binary salp swarm algorithm(ECDPB).Considering that extreme learning machines(ELMs)have rapid learning rates and good generalization ability,they can serve as the basic classifier for creating multiple candidates while using fewer computational ***,we introduce a combined diversity measure by taking the complementarity and accuracy of ELMs into account;it is used to identify the ELMs that have good diversity and low *** addition,we propose an ECDPB with powerful optimizing ability;it is employed to find the optimal subset of *** selected ELMs can then be used to forman ensemble *** on 10 benchmark datasets have been conducted,and the results demonstrate that the proposed ECDPB delivers superior classification capacity when compared with alternative methods.

关键词： Ensemble classifier salp swarmalgorithm diversity measure multiple classifiers system extreme learning machine

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Integrated production and delivery withmultiple factories and multiple customers

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International Journal of Systems Science: Operations and Logistics 2017年第3期4卷 219-228页

作者： Li, Kai Zhang, Xun Leung, Joseph Y-T. Cheng, Ba-yi School of Management Hefei University of Technology Hefei China Key Laboratory of Process Optimization and Intelligent Decision-Making of Ministry of Education Hefei China Department of Computer Science New Jersey Institute of Technology Newark NJ United States

This paper considers coordinated scheduling of production and delivery with multiple factories and multiple customers. Due to the variation of cost, the production and delivery costs of a job are dependent on the factory to which it is assigned. Our problem is to find a schedule that minimises the makespan or the total completion time, subject to the constraint that the total cost does not exceed a given threshold. We first describe a linear programming algorithm to solve the preemptive case. The result of the linear program serves as a lower bound of the nonpreemptive case and suggests heuristics to solve the nonpreemptive case. We also show that minimising the total completion time subject to a given threshold of the cost is NP-complete. Computational experiments are conducted and the results show that the heuristics perform very well in practice. © 2016, © 2016 Informa UK Limited, trading as Taylor & Francis Group.

关键词： delivery cost heuristics makespan multiple factories Scheduling total completion time

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3DGS-based Tracking of Articulated Instruments for Instruments-Tissue Interaction Estimation in Robot-assisted Minimally Invasive Surgery

3DGS-based Tracking of Articulated Instruments for Instrumen...

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2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024

作者： Li, Xiaojian Shen, Lili Li, Ling Mo, Hangjie Wang, Xin Ma, Xiang Zheng, Jieyu School of Management Hefei University of Technology Hefei China Hefei University of Technology Key Laboratory of Process Optimization and Intelligent Decision-Making Hefei China West China Hospital Sichuan University Sichuan China

ISBN: (纸本)9781665481090

3D information of surgical scene potentially enhances the accuracy of surgical navigation and facilitate the automation of robot-assisted surgery. However, current research seldom considers the relative 3D position between instruments and tissue. In this paper, the instruments-tissue interaction estimation method is proposed to obtain the relative distance between instruments and tissue. The 3D Gaussian representation of instruments is established preoperatively, making the pose of instruments the only parameter to be learned and updated. Based on this, the instrument pose estimation method is proposed, which applies 3DGS (3D Gaussian Splatting) to the instrument Gaussian model to obtain rendered color images, projection masks, and depth maps. These are aligned with the input images, segmented masks and depth from stereo depth estimation to construct the target loss. By backpropagating through the target loss, the optimal instrument pose is obtained. The L1 loss and smooth loss based on TPS (the Thin Plate Spline) are used to complete the depth of tissue occluded by instruments. The instruments-tissue interaction is estimated by the nearest distance between instrument and tissue. The experimental results indicate an average error of 0.94 mm and an accuracy of 90.40% with an error less than 2mm in estimating relative 3D distance between instruments and tissue. © 2024 IEEE.

关键词： Robotic surgery

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Analysis on medicine compounding for stroke prevention treated by Xin'an physicians based on association rules

Analysis on medicine compounding for stroke prevention treat...

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2012 5th International Conference on intelligent Computation Technology and Automation, ICICTA 2012

作者： Gao, Luan Li, Feng-Gang Wang, Jian Liang, Yu Li, Yu Chinese Medicine Clinic Institute Anhui Chinese Medical College Hefei 230038 China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei University of Technology Hefei 230009 China

ISBN: (纸本)9780769546377

The purpose of this paper is to probe into the rules of medicine compounding for stroke prevention treated by Xin'an physicians by data mining. The method is in two steps. First step is to build the database of the Xin'an physical stroke prevention. Second step is to use the method of association rules contained in professional data mining software and probe into the medicine rules for stroke prevention treated by Xin'an physicians. The result is that Chenpi, Fuling, Gancao, Luxiancao, Xiqiancao, Baijili, and Shinanye which are of the seven common Chinese medical compounding prescriptions can be used for Xin'an physicians' stroke prevention. The conclusion is that we should utilize the eliminating phlegm, calming wind and clearing the channels when Xin'an physicians treat stroke problem. © 2012 IEEE.

关键词： Association rules

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Forecasting Modeling and Analysis of Power Engineering in China Based on Gauss-Chebyshev Formula

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Systems Engineering Procedia 2012年 5卷 131-136页

作者： Xiaojia Wang China Key Laboratory of Process Optimization and Intelligent Decision-Making Hefei University of Technology Hefei Anhui. 230009China

This paper used Gauss-Chebyshev formula to construct a new class of gray prediction model- GCGM (1,1) to overcome the lack of existed gray model and made accurate forecasting of electricity consumption for power engineering. A case study using the power engineering data of China is presented to demonstrate the effectiveness of our approach.

关键词： Gauss-Chebyshev formula GM (1 1) model background value forecasting power engineering

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Development and implementation of WEB-based online hotel reservation system

Development and implementation of WEB-based online hotel res...

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2013 International Conference on Precision Mechanical Instruments and Measurement Technology, ICPMIMT 2013

作者： Hu, Ping Gu, Dong Xiao Department of Management of Hefei University HeFei Anhui 230601 China Key Laboratory of Process Optimization Intelligent Decision-making of Ministry of Education China School of Management at Hefei University of Technology Hefei Anhui 230009 China

ISBN: (纸本)9781629933405

The Internet accelerates the communication and understandings between people, which make information unprecedented important. Furthermore, it changes the way that people book rooms, which makes rooms-booking diversified, convenient, and individualized. Out of the demand of modern hotels and based on the B/S model, this paper analyzes and designs the hotel booking operation, and achieves the functions of register, login-in, reservation, customer management, and reservation management, and etc., in order to improve the efficiency of hotel reservation. © 2013 Trans Tech Publications Ltd, Switzerland.

关键词： Hotels

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Dynamic Topic Analysis in Academic Journals using Convex Non-negative Matrix Factorization Method

arXiv

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arXiv 2025年

作者： Yang, Yang Zhang, Tong Wu, Jian Su, Lijie National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern University Shenyang China China Criminal Police University Shenyang China Center for Advanced Process Decision-making Carnegie Mellon University PittsburghPA United States Beijing Institute for General Artificial Intelligence Beijing China Liaoning Key Laboratory of Manufacturing System and Logistics Optimization Northeastern University ChinaShenyang Shenyang110819 China Liaoning Engineering Laboratory of Data Analytics and Optimization for Smart Industry Northeastern University Shenyang China

With the rapid advancement of large language models, academic topic identification and topic evolution analysis are crucial for enhancing AI’s understanding capabilities. Dynamic topic analysis provides a powerful approach to capturing and understanding the temporal evolution of topics in large-scale datasets. This paper presents a two-stage dynamic topic analysis framework that incorporates convex optimization to improve topic consistency, sparsity, and interpretability. In Stage 1, a two-layer non-negative matrix factorization (NMF) model is employed to extract annual topics and identify key terms. In Stage 2, a convex optimization algorithm refines the dynamic topic structure using the convex NMF (cNMF) model, further enhancing topic integration and stability. Applying the proposed method to IEEE journal abstracts from 2004 to 2022 effectively identifies and quantifies emerging research topics, such as COVID-19 and digital twins. By optimizing sparsity differences in the clustering feature space between traditional and emerging research topics, the framework provides deeper insights into topic evolution and ranking analysis. Moreover, the NMF-cNMF model demonstrates superior stability in topic consistency. At sparsity levels of 0.4, 0.6, and 0.9, the proposed approach improves topic ranking stability by 24.51%, 56.60%, and 36.93%, respectively. The source code is available at https://***/meetyangyang/CDNMF. © 2025, CC BY.

关键词： Non-negative matrix factorization

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Regression model for estimation of attribute reliability

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Journal of Control and decision 2021年第2期8卷 201-212页

作者： Guangyan Lu Wenjun Chang Department of Operation Management CRRC Qishuyan Institute Co.LtdChangzhouPeople’s Republic of China School of Management Hefei University of TechnologyHefeiBox 270HefeiAnhui 230009People’s Republic of China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of EducationHefeiAnhui 230009People’s Republic of China Ministry of Education Engineering Research Center for Intelligent Decision Making&Information System Technologies Hefei 230009People’s Republic of China

In this paper,a regression model is developed to estimate attribute reliability in the evidential reasoning(ER)*** analysing the difference between attribute weight and attribute reliability,a general qualitative definition of attribute reliability is *** reliability of an attribute is quantitatively measured in consistence with the qualitative definition in the context of the ER approach.A regression model is then constructed to generate attribute reliabilities by minimising the maximum differences between the real value of attribute reliability and its *** the post-optimal solution space of attribute reliabilities,an optimisation model is constructed to determine the expected utilities of each alternative in order to generate solutions to multiple attribute decision analysis *** place selection problem in Qingyang County of Chizhou in Anhui province of China is analysed using the proposed regression model to demonstrate its detailed implementation process,validity and applicability.

关键词： Multiple attribute decision analysis attribute reliability regression model evidential reasoning rule evidential reasoning approach

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Stability Analysis on a Bus Route Based on the Time-Headway Model Considering Bus Capacity 15

Stability Analysis on a Bus Route Based on the Time-Headway ...

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15th COTA International Conference of Transportation Professionals: Efficient, Safe, and Green Multimodal Transportation, CICTP 2015

作者： Zhang, Jian Ding, Jian-Xun Wang, Jian Shi, Qin Kühne, Reinhart D. School of Transportation Engineering Hefei University of Technology Hefei230009 China Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education Hefei230009 China Department for Transportation University of Stuttgart Stuttgart70174 Germany

ISBN: (数字)9780784479292

ISBN: (纸本)9780784479292

We emphasize the bus capacity or load limit effect on the dynamical phase transition between the delay and schedule time based on the time headway model of bus route system. A variety of schedule or delay phase spectrums have been drawn in a series of bus capacities. The phase diagrams perfectly degenerate into traditional research findings in two extreme conditions of with/without bus capacity. The retention rate is proposed as another index to evaluate the system performance and acquire the optimal load limit and the corresponding departure frequency at various arrival rates. It is concluded that the vehicle capacity limit can expand the schedule-time phase and we can take a certain load limit and departure frequency corresponding to the arrival rate. © ASCE.

关键词： Buses

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