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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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Identification of abnormal operating conditions and intelligent decision system

Xiuliang LI, Junjie JIANG, Hongye SU, Jian CHU

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 4, Pages 456-462 doi: 10.1007/s11465-011-0224-0

Abstract: soil conditioning, and establishes a uniform model of identifying abnormal conditions and intelligent decisionsupport system based on the belief rule-base system.

Keywords： earth pressure balance (EPB) shield machine soil pressure cabin abnormal operating condition belief rule-base

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Study and implementation of claim decision support system for large water transfer project

Wang Wei

Strategic Study of CAE 2011, Volume 13, Issue 12, Pages 108-112

Abstract: experience and expert in construction claim of large water transfer project, case-based reasoning (CBR) and rule-basedThe knowledge-based claim decision support system is designed and implemented, in which the previous

Keywords： water transfer project claim management case-based reasoning (CBR) rule-based reasoning (RBR) decision

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Entity and relation extraction with rule-guided dictionary as domain knowledge

Frontiers of Engineering Management Pages 610-622 doi: 10.1007/s42524-022-0226-0

Abstract: Entity and relation extraction is an indispensable part of domain knowledge graph construction, which can serve relevant knowledge needs in a specific domain, such as providing support for product research, sales, risk control, and domain hotspot analysis. The existing entity and relation extraction methods that depend on pretrained models have shown promising performance on open datasets. However, the performance of these methods degrades when they face domain-specific datasets. Entity extraction models treat characters as basic semantic units while ignoring known character dependency in specific domains. Relation extraction is based on the hypothesis that the relations hidden in sentences are unified, thereby neglecting that relations may be diverse in different entity tuples. To address the problems above, this paper first introduced prior knowledge composed of domain dictionaries to enhance characters’ dependence. Second, domain rules were built to eliminate noise in entity relations and promote potential entity relation extraction. Finally, experiments were designed to verify the effectiveness of our proposed methods. Experimental results on two domains, including laser industry and unmanned ship, showed the superiority of our methods. The F1 value on laser industry entity, unmanned ship entity, laser industry relation, and unmanned ship relation datasets is improved by +1%, +6%, +2%, and +1%, respectively. In addition, the extraction accuracy of entity relation triplet reaches 83% and 76% on laser industry entity pair and unmanned ship entity pair datasets, respectively.

Keywords： entity extraction relation extraction prior knowledge domain rule

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Physiological functions and clinical implications of the N-end rule pathway

Yujiao Liu,Chao Liu,Wen Dong,Wei Li

Frontiers of Medicine 2016, Volume 10, Issue 3, Pages 258-270 doi: 10.1007/s11684-016-0458-7

Abstract:

The N-end rule pathway is a unique branch of the ubiquitin-proteasome system in which the determinationThe molecular basis of the N-end rule pathway has been elucidated and its physiological functions haveThis review summarized the physiological functions of the N-end rule pathway, introduced the related

Keywords： N-end rule pathway Ate1 cardiovascular development neurogenesis spermatogenesis neurodegenerative disorders

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Novel slack-based robust scheduling rule for a semiconductor manufacturing system with uncertain processing

Juan LIU, Fei QIAO, Yumin MA, Weichang KONG

Frontiers of Engineering Management 2018, Volume 5, Issue 4, Pages 507-514 doi: 10.15302/J-FEM-2018045

Abstract: To improve the robustness of the scheduling scheme, we propose a novel slack-based robust scheduling ruleThe decision in the SR is made in real time given the robustness.

Keywords： semiconductor manufacturing system uncertain processing time dynamic scheduling slack-based robust scheduling rule

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Survey of the Algorithms on Association Rule Mining

Bi Jianxin,Zhang Qishan

Strategic Study of CAE 2005, Volume 7, Issue 4, Pages 88-94

Abstract:

In this paper the principle of the algorithms on association rule mining is introduced firstly, andresearches of the algorithms on association rule mining are summarized in turn according to variableAt last, some future directions on association rule generation are viewed.

Keywords： data mining association rule algorithms survey

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Study on the NOx release rule along the boiler during pulverized coal combustion

JIN Jing, ZHANG Zhongxiao, LI Ruiyang

Frontiers in Energy 2007, Volume 1, Issue 1, Pages 91-95 doi: 10.1007/s11708-007-0009-7

Abstract: Numerical simulation and experimental study on NO release along the boiler during pulverized coal combustion have been conducted. With the increase of temperature the NO emission increased and the peak value of NO release moved forward. But when the temperature increased to a certain degree, NO emission began to reduce. NO emission increased with the increase of nitrogen content of coal. The peak value of NO release moved backwards with the increase of coal rank. NO emission increased obviously with the increase of stoichiometric ratio. There existed a critical average diameter of the pulverized coal (). If "d, NO emission reduced with the decrease of pulverized coal size. If >, NO emission reduced with the increase of the pulverized coal size. The results showed that the simulation results are in agreement with the experimental results for concentration distribution of NO along the axis of the furnace.

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The study of slip line field and upper bound method based on the non-associated flow rule

Zheng Yingren,Deng Chujian,Wang Jinglin

Strategic Study of CAE 2010, Volume 12, Issue 8, Pages 56-69

Abstract: text-align: justify;">The slip line field theory and the upper bound method based on the associated flow ruleplastic theory don't accord with the experiment for geotechnical material ,so the non-associated flow ruleproblems existing in the slip line field theory and the upper bound method based on the associated flow ruleThe slip line field theory and the upper bound method based on the non-associated flow rule were deducedinconsistencies in the slip line field theory and the upper bound method based on the associated flow rule

Keywords： slip line field upper bound method associated flow rule non-associated flow rule generalized plastic

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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