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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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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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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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Intelligent negotiation model for ubiquitous group decision scenarios Project supported bypresented at the 13th International Conference on Practical Applications of Agents and Multi-Agent Systems

João CARNEIRO,Diogo MARTINHO,Goreti MARREIROS,Paulo NOVAIS

《信息与电子工程前沿（英文）》 2016年第17卷第4期页码 296-308 doi: 10.1631/FITEE.1500344

摘要： Supporting group decision-making in ubiquitous contexts is a complex task that must deal with a large amount of factors to succeed. Here we propose an approach for an intelligent negotiation model to support the group decision-making process specifically designed for ubiquitous contexts. Our approach can be used by researchers that intend to include arguments, complex algorithms, and agents’ modeling in a negotiation model. It uses a social networking logic due to the type of communication employed by the agents and it intends to support the ubiquitous group decision-making process in a similar way to the real process, which simultaneously preserves the amount and quality of intelligence generated in face-to-face meetings. We propose a new look into this problem by considering and defining strategies to deal with important points such as the type of attributes in the multicriterion problems, agents’ reasoning, and intelligent dialogues.

关键词： Group decision support systems Ubiquitous computing Automatic negotiation Social networks Multi-agent systems

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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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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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A consensus model for group decision making under interval type-2 fuzzy environment

Xiao-xiong ZHANG,Bing-feng GE,Yue-jin TAN

《信息与电子工程前沿（英文）》 2016年第17卷第3期页码 237-249 doi: 10.1631/FITEE.1500198

摘要： We propose a new consensus model for group decision making (GDM) problems, using an interval type-2 fuzzy environment. In our model, experts are asked to express their preferences using linguistic terms characterized by interval type-2 fuzzy sets (IT2 FSs), because these can provide decision makers with greater freedom to express the vagueness in real-life situations. Consensus and proximity measures based on the arithmetic operations of IT2 FSs are used simultaneously to guide the decision-making process. The majority of previous studies have taken into account only the importance of the experts in the aggregation process, which may give unreasonable results. Thus, we propose a new feedback mechanism that generates different advice strategies for experts according to their levels of importance. In general, experts with a lower level of importance require a larger number of suggestions to change their initial preferences. Finally, we investigate a numerical example and execute comparable models and ours, to demonstrate the performance of our proposed model. The results indicate that the proposed model provides greater insight into the GDM process.

关键词： Group decision making (GDM) Interval type-2 fuzzy sets (IT2 FSs) Feedback mechanism

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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 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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基于犹豫模糊决策矩阵的犹豫模糊多准则共识群决策方法 Article

Jie DING, Ze-shui XU, Hu-chang LIAO

《信息与电子工程前沿（英文）》 2017年第18卷第11期页码 1679-1692 doi: 10.1631/FITEE.1601546

摘要：本文建立了两种关于犹豫模糊多准则群共识决策的方法，并使用犹豫模糊决策矩阵（hesitant fuzzy decision matrices, HFDMs）表示专家的偏好。

关键词：多准则群决策；群共识；共识达成方法；犹豫模糊决策矩阵；集成算子

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’ important ranking of China drug safety management system: applying the non-structural fuzzy groupdecision method

Xiaoping ZHENG, Xiaocui WANG, Tingkuan ZHONG,

《化学科学与工程前沿（英文）》 2010年第4卷第3期页码 290-299 doi: 10.1007/s11705-009-0283-5

摘要： Drug safety management is an important issue in China drug management system and attracts great attentions from the whole society. In order to reduce drug incident, this study discusses some important elements associated with China drug safety management system and analyzes the data collected by questionnaires. Besides, a methodology for rating the important elements is described and applied. The non-structural fuzzy group decision method not only considers the insufficient precise information but also combines the opinions of different kinds of respondents in China’s four municipalities. The results indicate that the sample systems are the most important in these important elements, and the order of importance is sampling systems, licensing systems, traceability systems, transaction models, pharmacovigilance and emergence management. This study not only points out the important ranking of the pivotal elements in China drug safety management but also gives some specific proposals about how to enhance drug safety management in China.

关键词： management system different management important ranking non-structural fuzzy

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Mitigating nitrous oxide emissions from agricultural soils by precision management

Robert M. REES, Juliette MAIRE, Anna FLORENCE, Nicholas COWAN, Ute SKIBA, Tony van der WEERDEN, Xiaotang JU

《农业科学与工程前沿（英文）》 2020年第7卷第1期页码 75-80 doi: 10.15302/J-FASE-2019294

摘要：

Nitrous oxide (N O) emissions make up a significant part of agricultural greenhouse gas emissions. There is an urgent need to identify new approaches to the mitigation of these emissions with emerging technology. In this short review four approaches to precision managements of agricultural systems are described based on examples of work being undertaken in the UK and New Zealand. They offer the opportunity for N O mitigation without any reduction in productivity. These approaches depend upon new sensor technology, modeling and spatial information with which to make management decisions and interventions that can both improve agricultural productivity and environmental protection.

关键词： decision support systems mitigation nitrous oxide precision farming

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大数据与精准医学

Daniel Richard Leff, Guang-Zhong Yang

《工程（英文）》 2015年第1卷第3期页码 277-279 doi: 10.15302/J-ENG-2015075

摘要：

本文主要关注大数据分析对改善健康、预防和检测早期疾病以及个性化干预措施的潜在影响，讨论了大数据分析在建立患者电子健康档案以获得更好的临床决策支持中的可能作用。笔者研究了药物遗传学的发展，以更好地理解患者对化学疗法产生不同反应的原因。此外，笔者评估了在线健康交流的发展，以及如何利用这些数据检测公共健康威胁和控制传染病。最后，笔者描述了新一代可穿戴和可植入的躯体传感器如何改善身体状况、简化慢性病管理和提高外科植入物质量。

关键词：大数据生物传感器人体传感网络可植入传感器临床决策支持系统药物遗传学移动医疗

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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

Current applications of artificial intelligence for intraoperative decision support in surgery

Allison J. Navarrete-Welton, Daniel A. Hashimoto

期刊论文

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

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

期刊论文

Intelligent negotiation model for ubiquitous group decision scenarios Project supported bypresented at the 13th International Conference on Practical Applications of Agents and Multi-Agent Systems

João CARNEIRO,Diogo MARTINHO,Goreti MARREIROS,Paulo NOVAIS

期刊论文

创造力支持系统的体系结构研究

梁志成,于跃海,仲伟俊

期刊论文

BMP decision support system for evaluating stormwater management alternatives

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

期刊论文

A consensus model for group decision making under interval type-2 fuzzy environment

Xiao-xiong ZHANG,Bing-feng GE,Yue-jin TAN

期刊论文

工程移民决策支持研究