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Convergence to real-time decision making

James M. TIEN

Frontiers of Engineering Management 2020, Volume 7, Issue 2, Pages 204-222 doi: 10.1007/s42524-019-0040-5

Abstract: Real-time decision making reflects the convergence of several digital technologies, including those concernedMore specifically, real-time decision making can be depicted in terms of three converging dimensions:Internet of Things, decision making, and real-time.Decision making includes model-based analytics (since before 1990), information-based Big Data (sinceCentral to decision making, especially real-time decision making, is the ServGood concept, which the

Keywords： real-time decision making services goods ServGoods Big Data Internet of Things artificial intelligence

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Current applications of artificial intelligence for intraoperative decision support in surgery

Allison J. Navarrete-Welton, Daniel A. Hashimoto

Frontiers of Medicine 2020, Volume 14, Issue 4, Pages 369-381 doi: 10.1007/s11684-020-0784-7

Abstract: This scoping review investigated AI-based decision support systems targeted at the intraoperative phasethat a number of opportunities exist for future researchers and clinicians to work on AI for surgical decision

Keywords： artificial intelligence decision support clinical decision support systems intraoperative deep learning

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Challenges of human–machine collaboration in risky decision-making

Frontiers of Engineering Management 2022, Volume 9, Issue 1, Pages 89-103 doi: 10.1007/s42524-021-0182-0

Abstract: purpose of this paper is to delineate the research challenges of human–machine collaboration in risky decision-makingIn risky decision-making, a human decision-maker is vulnerable to cognitive biases when judging the possibleoutcomes of a risky event, whereas a machine decision-maker cannot handle new and dynamic contexts withWe first summarize features of risky decision-making and possible biases of human decision-makers thereinAfterward, we review the literature on human–machine collaboration in a general decision context, from

Keywords： human–machine collaboration risky decision-making human–machine team and interaction task allocation

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Erratum to: Theoretical foundation of a decision network for urban development

Shih-kung Lai, Jhong-you Huang,lai@tongji.edu.cn,jhongyouhuang@gmail.com

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10, Pages 1677-1677 doi: 10.1631/FITEE.15e0000

Abstract: Erratum to: , 2017 18(8):1033-1039. doi:

Keywords： Decision making Linked decisions Decision network Planning

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CORRECTION to: Special issue: Decision, risk analytics and data intelligence

Xiaozhe ZHAO, Desheng Wu

Frontiers of Engineering Management Pages 697-697 doi: 10.1007/s42524-020-0139-8

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

Zeshui XU, Shen ZHANG

Frontiers of Engineering Management 2019, Volume 6, Issue 2, Pages 163-182 doi: 10.1007/s42524-019-0017-4

Abstract: element (HFE), which is the basic component of HFSs, can express the evaluation values of multiple decisionThus, the HFS has its unique advantages in group decision making (GDM).the consensus process under hesitant fuzzy environment, which is an important support for a complete decision-makingaspect, we introduce seven hesitant fuzzy GDM approaches, which can be applied in GDM under different decision-making

Keywords： hesitant fuzzy set hesitant fuzzy preference relation group decision-making

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

Tengda Xu, Jun Xu, Xuezhong Yu, Sui Ma, Zhong Wang

Frontiers of Medicine 2012, Volume 6, Issue 1, Pages 89-93 doi: 10.1007/s11684-012-0183-9

Abstract:

The application of main methodologies for clinical decision-making by residents in emergency medicalMedical College Hospital of were analyzed by independent investigators who evaluated the main clinical decision-makingThe application of decision-making strategies by PG1 and PG3 groups, which means the residents in firstThe decision-making processes applied by junior and senior residents were significantly different, althoughInclusion of clinical decision-making in medical curricula is needed to improve decision-making in critical

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

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Both-Branch Fuzzy Decision and Problems on Decision Discernment

Shi Kaiquan,Li Qiqiang

Strategic Study of CAE 2001, Volume 3, Issue 1, Pages 71-77

Abstract: (X^*≠{x}), and the optimal decision analysis model.In addition, the paper proposes decision judgement theorem, decision discernment theorem, decision surplusage-discardingBoth-branch fuzzy decision has such characteristics as decision two-direction dependence character, decisionpiling-synthesis character, decision branch-separating character, decision branch-degeneration character, and decision non-fault character.

Keywords： both-branch fuzzy decision decision model judgement theorem discernment theorem surplusage-discarding

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BMP decision support system for evaluating stormwater management alternatives

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

Frontiers of Environmental Science & Engineering 2009, Volume 3, Issue 4, Pages 453-463 doi: 10.1007/s11783-009-0153-x

Abstract: County, Maryland, in the Washington D.C. metropolitan area has developed a best management practice decisionsupport system (BMPDSS) to support analysis and decision making for stormwater management planning and

Keywords： best management practices decision support system low impact development geographic information system

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Special issue: Decision, risk analytics and data intelligence

Xiaozhe ZHAO, Desheng WU

Frontiers of Engineering Management 2020, Volume 7, Issue 2, Pages 169-171 doi: 10.1007/s42524-020-0114-4

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Erratum to: Theoretical foundation of a decision network for urban development Perspective

Shih-kung LAI, Jhong-you HUANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10, Pages 1677-1677 doi: 10.1631/FITEE.1510000

Abstract: 规划问题具有挑战性和复杂性，因为它们通常涉及多重属性偏好和多个利益相关者。因此，很少有规划工具能帮助规划者解决这些问题。传统决策分析在处理规划问题时无法达到预期，因为它主要侧重于为特定决策者制定单一决策。本文介绍了一个名为“决策网络”的规划工具的理论基础，其目的是帮助规划者在面对具有多属性偏好的多个利益相关者时，作出多重且相互关联的决定。本研究提供了一个成熟科学技术的起点，将有助于处理复杂的规划问题。我们首先提出决策网络模式所欲处理的规划问题的一般化模式。然后我们针对这个规划问题提出一个有效的解决演算法，再使用数值示例来演示该演算法是如何运作。所提出的解决演算法被证明是有效的，亦使该规划工具的计算机化成为可能。同时，我们指明“决策网络”的图形表示较“决策树”的图形表示来得更为有效。因此，在处理具有挑战性和复杂性的城市规划问题时，通过决策网络模式所作出的多重的且相关的决策，将会比独立地做出这些决策产生更多的好处。

Keywords： Decision making Linked decisions Decision network Planning

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A Decision-making Method Based on Fuzzy Sets and Rough Sets Theory

Luo Dang

Strategic Study of CAE 2004, Volume 6, Issue 12, Pages 32-36

Abstract:

In this paper, a combined decision-making model is presented for dealing with uncertain and imprecisemodel is firstly to classify the uncertain examples given using fuzzy clustering analysis, to make a decisiontable specified,and then to simplify the decision table by means of the rough sets theory.It gives all possible minimal decision algorithms associated with the decision table.These decision algorithms have found application in larger field.

Keywords： fuzzy clustering rough sets decision table decision rule

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

Xiangkun He,Wenhui Huang,Chen Lv,

Engineering doi: 10.1016/j.eng.2023.10.005

Abstract: vehicles are vital components of intelligent transportation systems, ensuring the trustworthiness of decision-makingpresent a novel robust reinforcement learning approach with safety guarantees to attain trustworthy decision-makingThe proposed technique ensures decision trustworthiness in terms of policy robustness and collision safety

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

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An application of game theory in distributed collaborative decision making

Angran XIAO

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 1, Pages 85-101 doi: 10.1007/s11465-019-0523-4

Abstract: from game theory to model the relationships between engineering teams and facilitate collaborative decision

Keywords： collaboration distributed product realization game theory digital interface

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Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4, Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: To address this issue, this paper explores a decision-tree-structured neural network, that is, the deepThe proposed model effectively integrates the advantages of convolutional neural network (CNN) and decisiontree methods by rebuilding the output decision layer of CNN according to the hierarchical structuralcharacteristics of the decision tree, which is by no means a simple combination of the two models.comprehensive fault diagnosis, 2) the better interpretability of the model output with hierarchical decision

Keywords： bearing cross-severity fault diagnosis hierarchical fault diagnosis convolutional neural network decision