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Utility analysis of belief in evidence theory

Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice 2008年第3期28卷 103-110页

作者： Liu, Ye-Zheng Jiang, Yuan-Chun Zhang, Jie-Kui Key Laboratory of Process Optimization and Intelligent Decision-Making School of Management Hefei University of Technology Hefei 230009 China

This paper proposes, for the first time, a new issue called utility paradox which can not be solved effectively by the existing methods in evidence theory. A utility analysis method considering the subjective preference of decision maker is presented to solve the utility paradox problem. First, the degrees of belief given by experts are transformed into the utility beliefs of decision makers by a utility-belief function. The utility beliefs determine decision makers' action. Second, the rule of combination in evidence theory is employed to combine the utility beliefs. This paper gives the properties the utility-belief function should have, then a specific function is given and its validation is proved. Experiment shows the method is valid to solve the utility paradox problem.

关键词： decision making

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Dynamic properties of chasers in a moving queue based on a delayed chasing model

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Chinese Physics B 2016年第5期25卷 106-110页

作者：郭宁丁建勋凌翔石琴 Reinhart Kühne School of Engineering Science University of Science and Technology of China Hefei 230026 China School of Transportation Engineering Hefei University of Technology Hefei 230009 China Key Laboratory of Process Optimization and Intelligent Decision-Making of Ministry of Education Hefei 230009 China Department for Transportation University of Stuttgart Stuttgart 70174 Germany

A delayed chasing model is proposed to simulate the chase behavior in the queue, where each member regards the closest one ahead as the target, and the leader is attracted to a target point with slight fluctuation. When the initial distances between neighbors possess an identical low value, the fluctuating target of the leader can cause an amplified disturbance in the queue. After a long period of time, the queue recovers the stable state from the disturbance, forming a straightline-like pattern again, but distances between neighbors grow. Whether the queue can keep stable or not depends on initial distance, desired velocity, and relaxation time. Furthermore, we carry out convergence analysis to explain the divergence transformation behavior and confirm the convergence conditions, which is in approximate agreement with simulations.

关键词： chase queue disturbance convergence analysis

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The impacts of content and source factors on consumers’ liking toward advertisements: an hsm-based framework

The impacts of content and source factors on consumers’ lik...

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International Conference on Applications and Techniques in Cyber Intelligence, ATCI 2020

作者： Chu, Xiumin Liu, Yezheng Chen, Xiayu School of Management Hefei University of Technology HefeiAnhui230009 China Key Laboratory of Process Optimization and Intelligent Decision Making Ministry of Education HefeiAnhui230009 China

ISBN: (纸本)9783030539795

Drawing on heuristic-systematic model (HSM), this study develops a research model to examine how content factors (i.e., persuasive and informative cues) and source factors (i.e., brand popularity and brand reputation) affect consumers’ liking behavior toward advertisements in microblogs, specifically on Weibo. Brand type is regarded as a moderator in the research model. Manual coding and machine learning algorithms are integrated to develop a classification model that tags tweets. Our study enhances the current understanding of consumers’ liking behavior on social media and provides managerial insights for brands seeking to facilitate consumer engagement. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.

关键词： Learning algorithms

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A method based on manifold learning and bagging for text classification

A method based on manifold learning and bagging for text cla...

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2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011

作者： Li, Feng Gang Fan, Ji Li Wang, Li Zhang, Hu Lin Duan, Rui School of Management Hefei University of Technology Hefei 230009 China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei University of Technology Hefei 230009 China

ISBN: (纸本)9781457705366

In order to solve the problem of high dimension in text classification, the paper proposes a method based on manifold learning and Bagging for text classification which imports manifold learning algorithm for dimension *** Bagging algorithm is introduced when training classifier to improve the accuracy of text classification. Experimental results demonstrate that effect of text dimension reduction by manifold learning algorithm in the pretreatment of text classification is better, and the performance of the classifier has improved significantly. © 2011 IEEE.

关键词： Classification (of information)

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Reasearch on the technology of electronic sand table based on GIS

Reasearch on the technology of electronic sand table based o...

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International Conference on Information Science and Engineering

作者： Chen, Haihan Lu, Zhitang Key Laboratory of Process Optimization and Intelligent Decision-making Hefei University of Technology Ministry of Education Hefei China School of Resources and Environmental Engineering Hefei University of Technology Hefei China

ISBN: (纸本)9781424480968

Electronic sand table is a new high-tech product by integrating computer application, geographic information systems (GIS) and virtual reality with multimedia. In this paper, an electronic sand table system of target areas is made under the platform of ArcGIS. The design and realization scheme of electronic sand table system is introduced at first. Then, the key techniques for electronic sand table, such as data processing, terrain modeling and feature matching, are described in details. Finally, the electronic sand table system is carried out on the platform of ArcGIS based on digital elevation model (DEM) and satellite remote sensing image. It can give users a real-time and interactive operation circumstance, and provide some references for the decision-makers to get a better understanding of the regions. © 2010 IEEE.

关键词： Remote sensing

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Inferential modelling and decision making with data 23

Inferential modelling and decision making with data

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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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