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An overview on the applications of the hesitant fuzzy sets in group decision-making: Theory, support

Zeshui XU, Shen ZHANG

《工程管理前沿(英文)》 2019年 第6卷 第2期   页码 163-182 doi: 10.1007/s42524-019-0017-4

摘要: Due to the characteristics of hesitant fuzzy sets (HFSs), one hesitant fuzzy element (HFE), which is the basic component of HFSs, can express the evaluation values of multiple decision makers (DMs) on the same alternative under a certain attribute. Thus, the HFS has its unique advantages in group decision making (GDM). Based on which, many scholars have conducted in-depth research on the applications of HFSs in GDM. We have viewed lots of relevant literature and divided the existing studies into three categories: theory, support and methods. In this paper, we elaborate on hesitant fuzzy GDM from these three aspects. The first aspect is mainly about the introduction of HFSs, HFPRs and some hesitant fuzzy aggregation operators. The second aspect describes the consensus process under hesitant fuzzy environment, which is an important support for a complete decision-making process. In the third aspect, we introduce seven hesitant fuzzy GDM approaches, which can be applied in GDM under different decision-making conditions. Finally, we summarize the research status of hesitant fuzzy GDM and put forward some directions of future research.

关键词: hesitant fuzzy set     hesitant fuzzy preference relation     group decision-making    

Clinical decision-making by the emergency department resident physicians for critically ill patients

null

《医学前沿(英文)》 2012年 第6卷 第1期   页码 89-93 doi: 10.1007/s11684-012-0183-9

摘要:

The application of main methodologies for clinical decision-making by residents in emergency medical practice was assessed, and issues in this area were investigated. The treatments provided to 2 611 critical patients by the Peking Union Medical College Hospital of were analyzed by independent investigators who evaluated the main clinical decision-making processes applied by the hospital residents. The application of decision-making strategies by PG1 and PG3 groups, which means the residents in first year and the third year, were compared. The patients were treated according to pattern recognition (43.0%), hypothetico-deductive reasoning (23.4%), event-driven models (19.3%), and rule-using algorithms (5.9%). A significant difference was found between PG1 and PG3 groups (χ2=498.01, P<0.001). Pattern recognition and hypothetic-deductive methods were the most common techniques applied by emergency physicians in evaluating critically ill patients. The decision-making processes applied by junior and senior residents were significantly different, although neither group adequately applied rule-using algorithms. Inclusion of clinical decision-making in medical curricula is needed to improve decision-making in critical care.

关键词: clinical decision-making     emergency medicine     critically ill patient     resident     methodology    

Toward Trustworthy Decision-Making for Autonomous Vehicles: A Robust Reinforcement Learning Approach

Xiangkun He,Wenhui Huang,Chen Lv,

《工程(英文)》 doi: 10.1016/j.eng.2023.10.005

摘要: While autonomous vehicles are vital components of intelligent transportation systems, ensuring the trustworthiness of decision-making remains a substantial challenge in realizing autonomous driving. Therefore, we present a novel robust reinforcement learning approach with safety guarantees to attain trustworthy decision-making for autonomous vehicles. The proposed technique ensures decision trustworthiness in terms of policy robustness and collision safety. Specifically, an adversary model is learned online to simulate the worst-case uncertainty by approximating the optimal adversarial perturbations on the observed states and environmental dynamics. In addition, an adversarial robust actor-critic algorithm is developed to enable the agent to learn robust policies against perturbations in observations and dynamics. Moreover, we devise a safety mask to guarantee the collision safety of the autonomous driving agent during both the training and testing processes using an interpretable knowledge model known as the Responsibility-Sensitive Safety model. Finally, the proposed approach is evaluated through both simulations and experiments. These results indicate that the autonomous driving agent can make trustworthy decisions and drastically reduce the number of collisions through robust safety policies.

关键词: Autonomous vehicle     Decision-making     Reinforcement learning     Adversarial attack     Safety guarantee    

Evolutionary Decision-Making and Planning for Autonomous Driving Based on Safe and Rational Exploration

Kang Yuan,Yanjun Huang,Shuo Yang,Zewei Zhou,Yulei Wang,Dongpu Cao,Hong Chen,

《工程(英文)》 doi: 10.1016/j.eng.2023.03.018

摘要: Decision-making and motion planning are extremely important in autonomous driving to ensure safe driving in a real-world environment. This study proposes an online evolutionary decision-making and motion planning framework for autonomous driving based on a hybrid data- and model-driven method. First, a data-driven decision-making module based on deep reinforcement learning (DRL) is developed to pursue a rational driving performance as much as possible. Then, model predictive control (MPC) is employed to execute both longitudinal and lateral motion planning tasks. Multiple constraints are defined according to the vehicle’s physical limit to meet the driving task requirements. Finally, two principles of safety and rationality for the self-evolution of autonomous driving are proposed. A motion envelope is established and embedded into a rational exploration and exploitation scheme, which filters out unreasonable experiences by masking unsafe actions so as to collect high-quality training data for the DRL agent. Experiments with a high-fidelity vehicle model and MATLAB/Simulink co-simulation environment are conducted, and the results show that the proposed online-evolution framework is able to generate safer, more rational, and more efficient driving action in a real-world environment.

关键词: Autonomous driving     Decision-making     Motion planning     Deep reinforcement learning     Model predictive control    

Common biases in client involved decision-making in the AEC industry

Sujesh F. SUJAN, Arto KIVINIEMI, Steve W. JONES, Jacqueline M. WHEATHCROFT, Eilif HJELSETH

《工程管理前沿(英文)》 2019年 第6卷 第2期   页码 221-238 doi: 10.1007/s42524-019-0026-3

摘要: Understanding of the constitution of client involved decisions is important for future improvements of the processes. Significant decisions in construction projects are reliant on heuristic processes where assumptions are developed from past experience. The paper presents a methodology to collect empirical data in an unstructured manner utilizing participant intuition and experience regarding project level collaboration, a term easily understood by practitioners. Empirical data collected from 6 focus group discussions in Norway and 18 individual interviews in Finland is associated with biases in decision making aimed at bridging the gap of understanding and literature’s insufficient coverage. An analytic framework was developed to suit the diverse emergence of concepts to allow application of psychological principles in a structured manner to empirical data. The paper contributes by identifying types of cognitive and motivational biases in client involved decisions. The biases are found to be alleviated by one another depending on the particular application of the decision. Findings suggest that normative beliefs exist developed from past experience and habitual thinking. A number of emerged biases in this domain are alleviated from normative beliefs which are discussed in this paper.

关键词: collaboration     construction industry     social science     decision-making     client     cognitive bias     motivational bias     holistic analysis     human factor    

多目标优化与决策问题的演化算法

谢涛,陈火旺

《中国工程科学》 2002年 第4卷 第2期   页码 59-68

摘要:

近年来,多目标优化与决策问题求解已成为演化计算的一个重要研究方向。为使演化算法的种群解 能尽快收敛并均匀分布于多目标问题的非劣最优域,多目标演化算法的研究热点集中在基于Pareto最优概念的 种群个体的比较与排序、适应值賦值与小生境技术等方面。介绍了多目标优化与决策技术的发展历史与分类方 法,分析了基于Pareto最优概念与不基于Pareto最优概念两大类的多目标演化算法,并详细比较与分析了几种 典型多目标演化算法。其次,论述了与多目标演化算法研究紧密相关的一些问题,如多目标问题解的性质,测 试函数集设计,算法性能评估技术,算法收敛性,并行实现以及实际多目标优化问题的处理等。

关键词: 演化计算     多目标优化与决策     Pareto最优    

Intuitionistic Fuzzy Aggregation Operator Based on Choquet Integral and Its Application to Multi-Criteria Decision-Making

Xi-hua Li,Xiao-hong Chen

《工程管理前沿(英文)》 2015年 第2卷 第3期   页码 266-276 doi: 10.15302/J-FEM-2015048

摘要: The Choquet integral can serve as a useful tool to aggregate interacting criteria in an uncertain environment. In this paper, a trapezoidal intuitionistic fuzzy aggregation operator based on the Choquet integral is proposed for multi-criteria decision-making problems. The decision information takes the form of trapezoidal intuitionistic fuzzy numbers and both the importance and the interaction information among decision-making criteria are considered. On the basis of the introduction of trapezoidal intuitionistic fuzzy numbers, its operational laws and expected value are defined. A trapezoidal intuitionistic fuzzy aggregation operator based on the Choquet integral is then defined and some of its properties are investigated. A new multi-criteria decision-making method based on a trapezoidal intuitionistic fuzzy Choquet integral operator is proposed. Finally, an illustrative example is used to show the feasibility and availability of the proposed method.

关键词: multi-criteria decision making     trapezoidal intuitionistic fuzzy numbers     Choquet integral     fuzzy measure     aggregation operator    

Perspectives in multilevel decision-making in the process industry

Braulio BRUNAUD, Ignacio E. GROSSMANN

《工程管理前沿(英文)》 2017年 第4卷 第3期   页码 256-270 doi: 10.15302/J-FEM-2017049

摘要: Decisions in supply chains are hierarchically organized. Strategic decisions involve the long-term planning of the structure of the supply chain network. Tactical decisions are mid-term plans to allocate the production and distribution of materials, while operational decisions are related to the daily planning of the execution of manufacturing operations. These planning processes are conducted independently with minimal exchange of information between them. Achieving a better coordination between these processes allows companies to capture benefits that are currently out of their reach and improve the communication among their functional areas. We propose a network representation for the multilevel decision structure and analyze the components that are involved in finding integrated solutions that maximize the sum of the benefits of all nodes of the decision network. Although such task is very challenging, significant research progress has been made in each component of this structure. An overview of strategic models, mid-term planning models, and scheduling models is presented to address the solution of each node in the decision network. Coordination mechanisms for converging the integrated solutions are also analyzed, including solving large-scale models, multiobjective optimization, bi-level programming, and decomposition. We conclude by summarizing the challenges that hinder the full integration of multilevel decision making in supply chain management.

关键词: supply chain optimization     enterprise-wide optimization     multilevel optimization     planning     scheduling    

工程移民决策支持研究

王家耀,姚松龄

《中国工程科学》 2000年 第2卷 第9期   页码 80-84

摘要:

工程移民指工程建设引起的非自愿的搬迁安置活动,工程移民决策包括规划决策和管理决策,这在国内外都是一个新课题,基于GIS的工程移民DSS是实施科学决策的有效手段,文章对工程移民决策支持的理论、方法进行了探讨,并结合万家寨工程移民决策支持进行了试验。

关键词: 工程移民     决策支持     地理信息系统(GIS)     决策支持系统(DSS)    

三峡工程的决策和实践

陆佑楣

《中国工程科学》 2003年 第5卷 第6期   页码 1-6

摘要:

长江三峡工程是当今世界特大型多目标的水利枢纽工程,规模宏大,工程技术问题难度很大。经过近70年的规划、论证、决策以及10年的工程建设实践,工程建设取得了重大进展,论证和决策的结论基本准确,有些问题如泥沙问题、环境问题和移民问题尚待在以后的运行中经受考验。文章论述了三峡工程的科学决策及实践。

关键词: 长江     三峡工程     决策     实践    

Challenges of human–machine collaboration in risky decision-making

《工程管理前沿(英文)》 2022年 第9卷 第1期   页码 89-103 doi: 10.1007/s42524-021-0182-0

摘要: The purpose of this paper is to delineate the research challenges of human–machine collaboration in risky decision-making. Technological advances in machine intelligence have enabled a growing number of applications in human–machine collaborative decision-making. Therefore, it is desirable to achieve superior performance by fully leveraging human and machine capabilities. In risky decision-making, a human decision-maker is vulnerable to cognitive biases when judging the possible outcomes of a risky event, whereas a machine decision-maker cannot handle new and dynamic contexts with incomplete information well. We first summarize features of risky decision-making and possible biases of human decision-makers therein. Then, we argue the necessity and urgency of advancing human–machine collaboration in risky decision-making. Afterward, we review the literature on human–machine collaboration in a general decision context, from the perspectives of human–machine organization, relationship, and collaboration. Lastly, we propose challenges of enhancing human–machine communication and teamwork in risky decision-making, followed by future research avenues.

关键词: human–machine collaboration     risky decision-making     human–machine team and interaction     task allocation     human–machine relationship    

Timing decision-making method of engine blades for predecisional remanufacturing based on reliability

Le CHEN, Xianlin WANG, Hua ZHANG, Xugang ZHANG, Binbin DAN

《机械工程前沿(英文)》 2019年 第14卷 第4期   页码 412-421 doi: 10.1007/s11465-019-0551-0

摘要: A timing decision-making method for predecisional remanufacturing is presented. The method can effectively solve the uncertainty problem of remanufacturing blanks. From the perspective of reliability, this study analyzes the timing decision-making interval for predecisional remanufacturing of mechanical products during the service period and constructs an optimal timing model based on energy consumption and cost. The mapping relationships between time and energy consumption are predicted by using the characteristic values of performance degradation of products combined with the least squares support vector regression algorithm. Application of game theory reveals that when the energy consumption and cost are comprehensively optimal, this moment is the best time for predecisional remanufacturing. Used engine blades are utilized as an example to demonstrate the validity and effectiveness of the proposed method.

关键词: predecisional remanufacturing     reliability     least squares support vector regression (LS-SVR)     game theory    

灾后重建项目的管理决策研究

田元福,李海莲,马新梅

《中国工程科学》 2008年 第10卷 第12期   页码 63-66

摘要:

强烈地震给人民生命财产带来重大损失,灾后重建工作任务急且十分繁重。管理者需要对重建工作做出全面科学的决策,按照以人为本、科学规划、统筹兼顾、分步实施、自力更生、国家支持、社会帮扶的方针,对投入的巨大人力、物力资源进行合理分配,以实现其最大效益。文章运用系统建模思想和统筹计划方法对这一问题进行了理论探讨,从灾后重建的全局角度出发,建立了重建项目的优先排序和满足资源总限量的项目决策数学模型,在理论上为重建工作的合理统筹规划提供了支持,以期对决策者有所启迪和帮助。

关键词: 灾后重建     项目管理     投资决策        

Decision-making governance for the Hong Kong-Zhuhai-Macao Bridge in China

Yongling ZHU, Qianqian SHI, Qian LI, Zhimei YIN

《工程管理前沿(英文)》 2018年 第5卷 第1期   页码 30-39 doi: 10.15302/J-FEM-2018087

摘要: The complexity of the Hong Kong-Zhuhai-Macao Bridge and the political environment of “One country, Two systems” have brought a vital influence on the decision-making recognition, decision-making analysis, and decision-making management related to this cross-border infrastructure mega-project. Based on case study, this study systematically analyzes the complexity of the decision-making related to the Hong Kong-Zhuhai-Macao Bridge, and explains the general principles that were used for its decision-making management. The research examines the decision-making management system of the Hong Kong-Zhuhai-Macao Bridge, its adaptive behavior, and specific coordination mechanism on different decision-making problems in different decision-making stages. This result provides reference for decision-making management system design of cross-border projects.

关键词: decision-making governance     Hong Kong-Zhuhai-Macao Bridge     governance mechanism    

虚拟现实环境下的混凝土坝施工管理与决策

周厚贵,曹生荣,王泉德

《中国工程科学》 2010年 第12卷 第9期   页码 63-68

摘要:

在虚拟现实环境下建立混凝土坝施工管理与决策平台,实现了对坝体结构、浇筑仓位、施工进度、施工机械、现场管理等多维施工信息的高度集成,逼真展现施工场景,可对施工过程及现场管理进行实时交互管理,为混凝土坝施工管理与决策提供了全新的环境。平台具有施工信息管理、坝体模型编辑、浇筑仓位管理、施工场景漫游、施工动画渲染、施工进度模拟、浇筑机械调度、施工过程交互等功能。

关键词: 混凝土坝     虚拟现实     施工管理与决策     丹江口大坝加高工程    

标题 作者 时间 类型 操作

An overview on the applications of the hesitant fuzzy sets in group decision-making: Theory, support

Zeshui XU, Shen ZHANG

期刊论文

Clinical decision-making by the emergency department resident physicians for critically ill patients

null

期刊论文

Toward Trustworthy Decision-Making for Autonomous Vehicles: A Robust Reinforcement Learning Approach

Xiangkun He,Wenhui Huang,Chen Lv,

期刊论文

Evolutionary Decision-Making and Planning for Autonomous Driving Based on Safe and Rational Exploration

Kang Yuan,Yanjun Huang,Shuo Yang,Zewei Zhou,Yulei Wang,Dongpu Cao,Hong Chen,

期刊论文

Common biases in client involved decision-making in the AEC industry

Sujesh F. SUJAN, Arto KIVINIEMI, Steve W. JONES, Jacqueline M. WHEATHCROFT, Eilif HJELSETH

期刊论文

多目标优化与决策问题的演化算法

谢涛,陈火旺

期刊论文

Intuitionistic Fuzzy Aggregation Operator Based on Choquet Integral and Its Application to Multi-Criteria Decision-Making

Xi-hua Li,Xiao-hong Chen

期刊论文

Perspectives in multilevel decision-making in the process industry

Braulio BRUNAUD, Ignacio E. GROSSMANN

期刊论文

工程移民决策支持研究

王家耀,姚松龄

期刊论文

三峡工程的决策和实践

陆佑楣

期刊论文

Challenges of human–machine collaboration in risky decision-making

期刊论文

Timing decision-making method of engine blades for predecisional remanufacturing based on reliability

Le CHEN, Xianlin WANG, Hua ZHANG, Xugang ZHANG, Binbin DAN

期刊论文

灾后重建项目的管理决策研究

田元福,李海莲,马新梅

期刊论文

Decision-making governance for the Hong Kong-Zhuhai-Macao Bridge in China

Yongling ZHU, Qianqian SHI, Qian LI, Zhimei YIN

期刊论文

虚拟现实环境下的混凝土坝施工管理与决策

周厚贵,曹生荣,王泉德

期刊论文