Search | Engineering

Subscribe Submit

Home Journals Focus Achievement Fronts About Us 中文版

Resource Type

Journal Article 149

Conference Videos 8

Year

2023 7

2022 13

2021 8

2020 12

2019 14

2018 7

2017 13

2016 6

2015 4

2014 2

2013 3

2012 3

2011 7

2010 7

2009 2

2008 6

2007 2

2006 4

2005 10

2004 4

open ︾

Keywords

Decision making 4

Reinforcement learning 4

data mining 4

decision making 4

decision support system 4

Decision-making 3

artificial intelligence 3

collaboration 3

decision-making 3

4D BIM 2

Big data analytics 2

Decision network 2

Intelligent manufacturing 2

Internet of Things 2

Motion planning 2

Three Gorges Project 2

Visual analytics 2

big data 2

data analytics 2

open ︾

Search scope:

排序： Display mode:

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

HTML PDF Collect

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

HTML PDF Collect

A literature review of perishable medical resource management

Frontiers of Engineering Management Pages 710-726 doi: 10.1007/s42524-023-0278-9

Abstract: Furthermore, research on service innovation, decision analytics, and supply chain resilience elucidates

Keywords： perishable medical resources organ transplant healthcare products decision analytics operations management

HTML PDF Collect

Data analytics and optimization for smart industry

Lixin TANG, Ying MENG

Frontiers of Engineering Management 2021, Volume 8, Issue 2, Pages 157-171 doi: 10.1007/s42524-020-0126-0

Abstract: First, this study describes a general methodology for the fusion of data analytics and optimization.Then, it identifies some data analytics and system optimization technologies to handle key issues inThe framework uses data analytics to perceive and analyze industrial production and logistics processesThe fusion of data analytics and optimization allows enterprises to enhance the prediction and controlof unknown areas and discover hidden knowledge to improve decision-making efficiency.

Keywords： data analytics system optimization smart industry

HTML PDF Collect

Intelligent data analytics is here to change engineering management

Jonathan Jingsheng SHI, Saixing ZENG, Xiaohua MENG

Frontiers of Engineering Management 2017, Volume 4, Issue 1, Pages 41-48 doi: 10.15302/J-FEM-2017003

Abstract: to measure, to understand their businesses, and to directly translate that knowledge into improved decisionThis position paper argues that data analytics is ready to change engineering management in the followingthe ocean of data; and 3) by integrating useful data from multiple sources to support quantitative decision-makingmanagement, the paper proposes researchable topics in the two broad areas of data acquisition and data analytics

Keywords： engineering management project management big data data analytics planning execution

HTML PDF Collect

Special issue: Operations analytics and optimization for manufacturing, logistics and energy systems

Jiming WANG, Jie LIU, Anlin SHAO, Lixin TANG

Frontiers of Engineering Management 2017, Volume 4, Issue 3, Pages 239-241 doi: 10.15302/J-FEM-2017109

HTML PDF Collect

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 concernedInternet of Things, decision making, and real-time.Decision making includes model-based analytics (since before 1990), information-based Big Data (sincereal-time technologies of sensing (i.e., capturing streaming data), processing (i.e., applying real-time analyticsCentral 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

HTML PDF Collect

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

HTML PDF Collect

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

HTML PDF Collect

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

HTML PDF Collect

RCAnalyzer: visual analytics of rare categories in dynamic networks Research

Jia-cheng PAN, Dong-ming HAN, Fang-zhou GUO, Da-wei ZHOU, Nan CAO, Jing-rui HE, Ming-liang XU, Wei CHEN

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 4, Pages 491-506 doi: 10.1631/FITEE.1900310

Abstract: A dynamic network refers to a graph structure whose nodes and/or links dynamically change over time. Existing visualization and analysis techniques focus mainly on summarizing and revealing the primary evolution patterns of the network structure. Little work focuses on detecting anomalous changing patterns in the dynamic network, the rare occurrence of which could damage the development of the entire structure. In this study, we introduce the first visual analysis system RCAnalyzer designed for detecting rare changes of sub-structures in a dynamic network. The proposed system employs a rare category detection algorithm to identify anomalous changing structures and visualize them in the context to help oracles examine the analysis results and label the data. In particular, a novel visualization is introduced, which represents the snapshots of a dynamic network in a series of connected triangular matrices. Hierarchical clustering and optimal tree cut are performed on each matrix to illustrate the detected rare change of nodes and links in the context of their surrounding structures. We evaluate our technique via a case study and a user study. The evaluation results verify the effectiveness of our system.

Keywords： Rare category detection Dynamic network Visual analytics

HTML PDF Collect

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

HTML PDF Collect

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

HTML PDF Collect

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

HTML PDF Collect

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