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Incomplete Fuzzy Information System

Yang Xibei,Yang Jingyu,Wu Chen,Fu Fan

Strategic Study of CAE 2006, Volume 8, Issue 7,   Pages 47-53

Abstract:

In this paper, incomplete fuzzy information system is studied.In order to deal with it by rough set theory, fuzzy compatible relation and fuzzy rough approximationFinally, knowledge dependency in rough set theory is transformed to fuzzy knowledge dependency in theincomplete fuzzy information system.A new method for measuring the strength of partial fuzzy knowledge dependency is proposed.

Keywords： incomplete fuzzy information system     fuzzy compatible relation     fuzzy rough set     fuzzy covering     fuzzy roughentropy     fuzzy knowledge dependency    

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Corrigendum to “High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy TemporalKnowledge Reasoning” 

He Zhuang, Liping Feng, Chao Wen, Qiyuan Peng, Qizhi Tang

Engineering 2017, Volume 3, Issue 1,   Pages 150-150 doi: 10.1016/J.ENG.2017.01.002

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A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis

Weichao Yue, Xiaofang Chen, Weihua Gui, Yongfang Xie, Hongliang Zhang

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3,   Pages 414-428 doi: 10.1007/s11705-017-1663-x

Abstract: been a challenging industrial issue due to its inherent complexity in analyzing based on multi-source knowledgeRCA of abnormal condition is a complex work of multi-source knowledge fusion, which is difficult to ensureIn view of this, a method based on Fuzzy-Bayesian network to construct multi-source knowledge solidificationThe method can effectively fuse and solidify the knowledge, which is used to analyze the cause of abnormalThe accuracy of the test results is up to 95%, which shows that the knowledge reasoning feasibility for

Keywords： abnormal aluminum electrolysis cell condition     Fuzzy-Bayesian network     multi-source knowledge solidification    

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High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy Temporal Knowledge Reasoning

He Zhuang, Liping Feng, Chao Wen, Qiyuan Peng, Qizhi Tang

Engineering 2016, Volume 2, Issue 3,   Pages 366-373 doi: 10.1016/J.ENG.2016.03.019

Abstract: Based on the temporal fuzzy reasoning method, with some adjustment, a new conflict prediction methodThe results prove that conflict prediction after fuzzy processing of the time intervals of a train timetable.2017.01.002">Corrigendum to “High-Speed Railway Train Timetable Conflict Prediction Based on FuzzyTemporal Knowledge Reasoning” [Engineering (2016) 366–373][J].

Keywords： High-speed railway     Train timetable     Conflict prediction     Fuzzy temporal knowledge reasoning    

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Fault evolution-test dependency modeling for mechanical systems

Xiao-dong TAN,Jian-lu LUO,Qing LI,Bing LU,Jing QIU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10,   Pages 848-857 doi: 10.1631/FITEE.1500011

Abstract: the testability performance of mechanical systems for tracking fault growth, a fault evolution-test dependency

Keywords： Mechanical systems     Design for testability (DFT)     Fault evolution-test dependency model (FETDM)    

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A Data and Knowledge Collaboration Strategy for Decision-Making on the Amount of Aluminum Fluoride AdditionBased on Augmented Fuzzy Cognitive Maps Article

Weichao Yue、 Weihua Gui、 Xiaofang Chen、 Zhaohui Zeng、 Yongfang Xie

Engineering 2019, Volume 5, Issue 6,   Pages 1060-1076 doi: 10.1016/j.eng.2019.10.005

Abstract: decision on the amount of AlF3 addition (referred to in this work as MDAAA) is a complex and knowledge-basedcomplexity of the aluminum reduction cell, it is difficult to guarantee the accuracy of MDAAA based on knowledge-drivenIn this work, a data and knowledge collaboration strategy for MDAAA based on augmented fuzzy cognitiveIn the proposed strategy, the fuzzy rules are extracted by extended fuzzy k-means (EFKM) andfuzzy decision trees, which are used to amend the initial structure provided by experts.

Keywords： AlF 3 addition     Fuzzy cognitive maps     Learning algorithms     State transition algorithm     Fuzzy    

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Standard model of knowledge representation

Wensheng YIN

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3,   Pages 275-288 doi: 10.1007/s11465-016-0372-3

Abstract:

Knowledge representation is the core of artificial intelligence research.To establish the intrinsic link between various knowledge representation methods, a unified knowledgeThis knowledge representation method is not a contradiction to the traditional knowledge representationIt can express knowledge in terms of multivariate and multidimensional.and inconsistent knowledge.

Keywords： knowledge representation     standard model     ontology     system theory     control theory     multidimensional representation    

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Analysis and countermeasures of natural gas development in China

Wenzhi ZHAO, Ailin JIA, Guosheng ZHANG

Frontiers of Engineering Management 2019, Volume 6, Issue 4,   Pages 477-484 doi: 10.1007/s42524-019-0064-x

Abstract: Therefore, its external dependency should be under 50% and not exceed 60%.

Keywords： natural gas     yield     consumption     external dependency     security situation    

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A Framework of Knowledge Theory： Toward a Unified Theory of Information, Knowledge and Intelligence

Zhong Yixin

Strategic Study of CAE 2000, Volume 2, Issue 9,   Pages 50-64

Abstract:

Knowledge has been very important wealth to the mankind but there has not a knowledge theory existedAn attempt is thus made in the paper to present a framework of knowledge theory that includes two parts: fundamentals and the main body of knowledge theory.The second part is to explore the mechanism of knowledge formation based on information processing andthe mechanism of intelligence formation based on the activation of knowledge.

Keywords： knowledge     amount of knowledge     knowledge formation     knowledge activation     unified theory of information-knowledge-intelligence    

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Research on Knowledge Sharing and Transfer in Remanufacturing Engineering Management Based on SECI Model

Ling-ling Zhang,Ming-hui Zhao,Qiao Wang

Frontiers of Engineering Management 2016, Volume 3, Issue 2,   Pages 136-143 doi: 10.15302/J-FEM-2016030

Abstract: In this paper, an application mode and method of knowledge management in remanufacturing engineeringThe relationships between knowledge transfer, knowledge sharing and remanufacturing engineering managementIt is noticeable that a great deal of knowledge transfer and sharing activities, which can improve the

Keywords： remanufacturing     engineering management     knowledge transfer and sharing     knowledge management    

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perspectives and future research directions for the phytoremediation of heavy metal-contaminated soil: A knowledge

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 6, doi: 10.1007/s11783-021-1507-2

Abstract:

• The overall global perspective of the PHMCS field was obtained.

Keywords： Heavy metal-contaminated soil     Hot topics     Knowledge mapping analysis     Knowledge base     Phytoremediation    

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The application and deepening of knowledge management system

Li Hua

Strategic Study of CAE 2011, Volume 13, Issue 8,   Pages 87-93

Abstract:

In the knowledge economy era, enterprises begin to realize that the mostvaluable property is knowledge.Effectively implementing the knowledge management system should be guided by the correct principles.The selection of sharing knowledge, building knowledge sharing platform and storage management unit,leading knowledge exchange and implementing incentive policies should be emphasized.

Keywords： knowledge management     knowledge sharing     knowledge forum    

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Development and Prospect of Big Data Knowledge Engineering

Zheng Qinghua, Liu Huan, Gong Tieliang, Zhang Lingling, Liu Jun

Strategic Study of CAE 2023, Volume 25, Issue 2,   Pages 208-220 doi: 10.15302/J-SSCAE-2023.02.018

Abstract:

Big Data Knowledge Engineering is the infrastructure of artificial intelligenceand propose a research framework of “data knowledgeization, knowledge systematization, and knowledgeSecondly, we sort out the key technologies of knowledge acquisition and fusion, knowledge representationdirections including complex big data knowledge acquisition, knowledge+data hybrid learning, and brain-inspiredknowledge coding and memorizing.

Keywords： Big Data Knowledge Engineering     Knowledge Acquisition     Knowledge Fusion     Knowledge Representation     Knowledge    

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Linking elements to outcomes of knowledge transfer in the project environment: Current review and future

Frontiers of Engineering Management 2022, Volume 9, Issue 2,   Pages 221-238 doi: 10.1007/s42524-022-0195-3

Abstract: A project is a specific effort to create a unique product, so it is a favorable place for knowledge creationKnowledge can be transferred inside and outside projects and their parent project-based organizationsHowever, the current research on the elements and outcomes of knowledge transfer (KT) in the projectImportantly, the knowledge gap in the current literature was highlighted, and future research directions

Keywords： knowledge transfer     knowledge management     project management     project environment     literature review    

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Syntactic word embedding based on dependency syntax and polysemous analysis None

Zhong-lin YE, Hai-xing ZHAO

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4,   Pages 524-535 doi: 10.1631/FITEE.1601846

Abstract: Dirichlet allocation (LDA) algorithm; (2) Symbols ‘+’ and ‘−’ are adopted to indicate the directions of the dependencysyntax; (3) Stopwords and their dependencies are deleted; (4) Dependency skip is applied to connectindirect dependencies; (5) Dependency-based contexts are inputted to a word2vec model.Besides, semantic and syntactic features can be captured from dependency-based syntactic contexts, exhibiting

Keywords： Dependency-based context     Polysemous word representation     Representation learning     Syntactic word embedding    

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Title Author Date Type Operation

Incomplete Fuzzy Information System

Yang Xibei,Yang Jingyu,Wu Chen,Fu Fan

Journal Article

Corrigendum to “High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy TemporalKnowledge Reasoning” 

He Zhuang, Liping Feng, Chao Wen, Qiyuan Peng, Qizhi Tang

Journal Article

A knowledge reasoning Fuzzy-Bayesian network for root cause analysis of abnormal aluminum electrolysis

Weichao Yue, Xiaofang Chen, Weihua Gui, Yongfang Xie, Hongliang Zhang

Journal Article

High-Speed Railway Train Timetable Conflict Prediction Based on Fuzzy Temporal Knowledge Reasoning

He Zhuang, Liping Feng, Chao Wen, Qiyuan Peng, Qizhi Tang

Journal Article

Fault evolution-test dependency modeling for mechanical systems

Xiao-dong TAN,Jian-lu LUO,Qing LI,Bing LU,Jing QIU

Journal Article

A Data and Knowledge Collaboration Strategy for Decision-Making on the Amount of Aluminum Fluoride AdditionBased on Augmented Fuzzy Cognitive Maps

Weichao Yue、 Weihua Gui、 Xiaofang Chen、 Zhaohui Zeng、 Yongfang Xie

Journal Article

Standard model of knowledge representation

Wensheng YIN

Journal Article

Analysis and countermeasures of natural gas development in China

Wenzhi ZHAO, Ailin JIA, Guosheng ZHANG

Journal Article

A Framework of Knowledge Theory： Toward a Unified Theory of Information, Knowledge and Intelligence

Zhong Yixin

Journal Article

Research on Knowledge Sharing and Transfer in Remanufacturing Engineering Management Based on SECI Model

Ling-ling Zhang,Ming-hui Zhao,Qiao Wang

Journal Article

perspectives and future research directions for the phytoremediation of heavy metal-contaminated soil: A knowledge

Journal Article

The application and deepening of knowledge management system

Li Hua

Journal Article

Development and Prospect of Big Data Knowledge Engineering

Zheng Qinghua, Liu Huan, Gong Tieliang, Zhang Lingling, Liu Jun

Journal Article

Linking elements to outcomes of knowledge transfer in the project environment: Current review and future

Journal Article

Syntactic word embedding based on dependency syntax and polysemous analysis

Zhong-lin YE, Hai-xing ZHAO

Journal Article