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Current applications of artificial intelligence for intraoperative decision support in surgery

Allison J. Navarrete-Welton, Daniel A. Hashimoto

《医学前沿（英文）》 2020年第14卷第4期页码 369-381 doi: 10.1007/s11684-020-0784-7

摘要： Research into medical artificial intelligence (AI) has made significant advances in recent years, including surgical applications. This scoping review investigated AI-based decision support systems targeted at the intraoperative phase of surgery and found a wide range of technological approaches applied across several surgical specialties. Within the twenty-one ( =21) included papers, three main categories of motivations were identified for developing such technologies: (1) augmenting the information available to surgeons, (2) accelerating intraoperative pathology, and (3) recommending surgical steps. While many of the proposals hold promise for improving patient outcomes, important methodological shortcomings were observed in most of the reviewed papers that made it difficult to assess the clinical significance of the reported performance statistics. Despite limitations, the current state of this field suggests that a number of opportunities exist for future researchers and clinicians to work on AI for surgical decision support with exciting implications for improving surgical care.

关键词： artificial intelligence decision support clinical decision support systems intraoperative deep learning computer vision machine learning surgery

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BMP decision support system for evaluating stormwater management alternatives

Mow-Soung CHENG, Jenny X. ZHEN, Leslie SHOEMAKER,

《环境科学与工程前沿（英文）》 2009年第3卷第4期页码 453-463 doi: 10.1007/s11783-009-0153-x

摘要： Prince George’s County, Maryland, in the Washington D.C. metropolitan area has developed a best management practice decision support system (BMPDSS) to support analysis and decision making for stormwater management planning and design at both the site scale and the watershed levels. This paper presents a detailed description of the BMPDSS. A case study that demonstrates the application of the system is also included. The case study involves a Green Highway project located in a highly urbanized area within the Anacostia River watershed of the county. Several best management practices (BMP) such as bioretention, filter vegetative swale, porous paving, and landscape infiltration are proposed for reducing highway runoff and improving water quality. The BMPDSS is used to identify and evaluate various alternatives to determine the most cost-effective types and combinations of BMPs that minimize the highway runoff pollution.

关键词： best management practices decision support system low impact development geographic information system optimization

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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

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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)

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Decision Support System for Evaluating Impact of Product Carbon Labeling Scheme

Xu Dong-ling,Foster Chris,Hu Ying,Yang Jian-bo

《工程管理前沿（英文）》 2014年第1卷第1期页码 89-104 doi: 10.15302/J-FEM-2014015

摘要： In this paper a decision support system for systematically evaluating the impact of labeling products with their carbon footprints is developed and applied to prioritize products for carbon labeling in a large supermarket chain in the UK. Carbon labels may change consumers' behavior and encourage suppliers to implement carbon-reduction solutions. Those changes may, however, lead to unintended risks. To handle the challenges of uncertainties in the evaluation, the Evidential Reasoning approach and the Intelligent Decision System software for multi-criteria decision analysis are applied to support the process. The system developed can be applied to assessing the impact of sustainable development policies to maximize their benefits and minimize their risks.

关键词： impact assessment multiple criteria decision analysis risk analysis carbon footprint decision support system product carbon labeling

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项目投标决策支持系统研究

曹生荣,王先甲,殷红

《中国工程科学》 2003年第5卷第12期页码 19-23

摘要：

据投标的实际流程，从投标的全过程出发，利用预测理论、决策理论、对策理论和计算机技术等开发了项目投标决策支持系统PBDSS，并系统介绍了PBDSS的结构、功能、实现技术和应用。PBDSS可在施工企业投标工作的信息咨询、项目选择、总价制定、报价内部调整及标书生成等方面发挥辅助决策的作用。

关键词：投标决策支持系统辅助决策施工企业

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Decision Support System for emergency scheduling of raw water supply systems with multiple sources

Qi WANG, Shuming LIU, Wenjun LIU, Zoran KAPELAN, Dragan SAVIC

《环境科学与工程前沿（英文）》 2013年第7卷第5期页码 777-786 doi: 10.1007/s11783-013-0537-9

摘要： A hydraulic model-based emergency scheduling Decision Support System (DSS) is designed to eliminate the impact of sudden contamination incidents occurring upstream in raw water supply systems with multiple sources. The DSS consists of four functional modules, including water quality prediction, system safety assessment, emergency strategy inference and scheduling optimization. The work flow of the DSS is as follows. First, the water quality variations on specific cross-sections are calculated given the pollution information. Next, a comprehensive evaluation on the safety of the current system is conducted using the outputs in the first module. This will assist in the assessment of whether the system is in danger of failure, taking both the impact of pollution and system capacity into account. If there is a severe impact of contamination on the reliability of the system, a fuzzy logic based inference module is employed to generate reasonable strategies including technical measures. Otherwise, a Genetic Algorithm (GA)-based optimization model will be used to find the least-cost scheduling plan. The proposed DSS has been applied to a coastal city in South China during a saline tide period as validation. Through scenario analysis, it is demonstrated that this DSS tool is instrumental in emergency scheduling for the water company to quickly and effectively respond to sudden contamination incidents.

关键词： decision support system raw water supply system contamination incident emergency scheduling hydraulic model safety assessment

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Decision support for the development, simulation and optimization of dynamic process models

Norbert Asprion, Roger Böttcher, Jan Schwientek, Johannes Höller, Patrick Schwartz, Charlie Vanaret, Michael Bortz

《化学科学与工程前沿（英文）》 2022年第16卷第2期页码 210-220 doi: 10.1007/s11705-021-2046-x

摘要： Simulation is besides experimentation the major method for designing, analyzing and optimizing chemical processes. The ability of simulations to reflect real process behavior strongly depends on model quality. Validation and adaption of process models are usually based on available plant data. Using such a model in various simulation and optimization studies can support the process designer in his task. Beneath steady state models there is also a growing demand for dynamic models either to adapt faster to changing conditions or to reflect batch operation. In this contribution challenges of extending an existing decision support framework for steady state models to dynamic models will be discussed and the resulting opportunities will be demonstrated for distillation and reactor examples.

关键词： decision support multicriteria optimization model validation dynamic model sensitivity analysis

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创造力支持系统的体系结构研究

梁志成,于跃海,仲伟俊

《中国工程科学》 2010年第12卷第1期页码 74-80

摘要：

介绍了创造力支持系统发展历程、创造力与创造性思维，综合研究了各类创造力支持系统，给出了创造力支持系统的构成要素、体系结构，并以构建系统用于电力系统故障分析实例研究，阐述了创造力支持系统对专家思维的支持过程。为创造力支持系统开发实现与应用提供参考。

关键词：创造力支持系统体系结构群体研讨环境表决链表

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大型调水工程索赔管理决策支持系统的研究和实现

王葳

《中国工程科学》 2011年第13卷第12期页码 108-112

摘要：

针对我国大型调水工程建设施工索赔经验少、索赔专家稀缺的实际情况，将人工智能中的基于事例推理(CBR) 技术和基于规则推理（RBR）技术应用于索赔管理，将以往的水利工程索赔事例以一定的结构和方式存储，设计并实现了基于知识的施工索赔决策支持系统，具有较强的实用性。目前研究应用于某大型调水工程施工管理系统。

关键词：调水工程索赔管理基于事例的推理基于规则的推理决策支持系统

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节水灌溉管理智能决策支持系统研究

汪志农,吕宏兴,王密侠,熊运章,马孝义

《中国工程科学》 2001年第3卷第7期页码 48-53

摘要：

应用人工智能中的专家系统技术，开发并集成了3个不同层次的节水灌溉管理决策支持系统：灌溉预报与节水灌溉决策子系统、灌区计划用水与水量调配管理系统、灌区管理体制改革子系统；介绍了节水灌溉管理智能决策支持系统的理论基础，系统结构，实际应用以及陕西省旱情决策子系统等。

关键词：灌溉预报节水灌溉灌溉管理智能决策支持系

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城市重大事故应急辅助决策支持系统研究

廖光煊,翁韬,朱霁平,刘铁民,刘功智

《中国工程科学》 2005年第7卷第7期页码 7-13

摘要：

针对严重影响我国经济发展和社会稳定的城市重大事故，研究了典型城市重大事故动态模拟的模型和方法，并开发了反应及时、决策科学和资源高效利用的事故应急决策支持系统，主要包括以下功能：城市不同功能区典型重大事故的动态模拟；城市不同功能区典型重大事故应急决策；城市不同功能区、不同事故类型的应急预案库；城市重大事故应急决策与指挥调度决策。该系统充分运用了先进的信息管理手段和工程技术，可及时发现事故隐患、控制事故扩展和蔓延并及时采取救援措施，使财产损失和人员伤亡减少到最低程度。

关键词：城市重大事故动态模拟应急决策支持系统

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复杂产品虚拟样机综合集成型决策支持系统研究

陈曦,宋宇波,王执铨,吴慧中

《中国工程科学》 2006年第8卷第2期页码 67-74

摘要：

现有常规决策方法和决策支持环境难以对复杂问题进行有效的决策支持和求解，复杂产品虚拟样机即属于该类问题，其决策支持环境的设计是虚拟样机工程需要解决的问题之一。在分析当前各种决策支持系统的特点并与综合集成型决策支持系统进行比较后，提出了只有构建综合集成型决策支持系统才能有效地解决复杂产品虚拟样机设计中的决策支持问题。从虚拟样机决策求解的过程分析了系统的需求，建立了B/S架构的、基于移动Agent技术的综合集成型决策支持系统，并阐明了系统的组织结构和功能，对系统实现的关键技术、仿真、信息和知识的综合集成进行了深入研究，给出了相应的实现方法。

关键词：复杂产品虚拟样机综合集成型决策支持系统综合集成研讨厅移动代理数据挖掘

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城市虚拟交通系统与交通发展决策支持模式研究

王炜, 赵德,华雪东,周伟

《中国工程科学》 2021年第23卷第3期页码 163-172 doi: 10.15302/J-SSCAE-2021.03.020

摘要：

本土化的城市虚拟交通系统与交通发展决策支持模式，在解决由快速城镇化引发且趋于严重的城市交通问题、克服现阶段智能交通系统存在的瓶颈方面具有重要意义。本研究依托大数据、互联网等信息技术，建立了由基础数据库、分析模型库、软件模块库、备选预案库组成的城市虚拟交通系统，涵盖其理论框架、系统功能、技术体系，据此提出覆盖城市土地开发、交通设施建设、交通运行管控、公共交通运营、交通政策制定等应用场景的交通发展决策支持模式。以重庆市为例，阐述了城市虚拟交通系统构建过程，完成重庆市新型冠状病毒肺炎疫情期间居民出行、车辆通行错峰方案的政府决策论证。结果表明，基于城市虚拟交通系统的交通发展决策支持模式在实际交通方案论证过程中具有及时性和有效性。研究建议，未来我国城市交通规划管理可注重城市虚拟交通系统的建设和运用，及时纳入新型信息技术成果以优化应用效果。

关键词：城市交通系统道路网络交通分析模型虚拟交通系统决策支持模式

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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