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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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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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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 knowledgeIn view of this, a method based on Fuzzy-Bayesian network to construct multi-source knowledge solidificationreasoning model is proposed.finding the abnormal state of root node, which has a maximum posterior probability by Bayesian diagnosis reasoningThe 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 solidificationand reasoning     root cause analysis    

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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: and propose a research framework of “data knowledgeization, knowledge systematization, and knowledgereasoning”.Secondly, we sort out the key technologies of knowledge acquisition and fusion, knowledge representation, and knowledge reasoning and introduce engineering applications in typical scenarios such as smart educationknowledge coding and memorizing.

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

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Technologies and Applications of Big Data Knowledge Engineering for Smart Taxation Systems

Zheng Qinghua , Shi Bin , Dong Bo

Strategic Study of CAE 2023, Volume 25, Issue 2,   Pages 221-231 doi: 10.15302/J-SSCAE-2023.07.005

Abstract: status and challenges facing China’s intelligent taxation field, we proposed a big data knowledgeengineering approach that emphasizes data knowledgeization, knowledge systematization, and knowledgereasonability, and developed a five-layer technical architecture that consists of knowledge sources,knowledge extraction, knowledge mapping, knowledge reasoning, and application layers.After elaborating the representative application scenarios including knowledge-driven tax preference

Keywords： smart taxation     knowledge engineering     big data     knowledge graph     knowledge reasoning    

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The Research of Mining the Mutative Knowledge With Extension Data Mining

Chen Wenwei

Strategic Study of CAE 2006, Volume 8, Issue 11,   Pages 70-73

Abstract:

The thesis standardized the extension information and the extension knowledge, that is, basing onthe information and knowledge, the thesis extended the mutative information and knowledge, and naileddown the conceptions of extension data mining and extension reasoning.This thesis also attested two theorems of the extension data mining and the formula of the extension reasoningthe mutative knowledge.

Keywords： extension information     extension knowledge     extension data mining     extension reasoning    

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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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Spatio-temporal variations of water quality in Yuqiao Reservoir Basin, North China

Yuan XU,Ruqin XIE,Yuqiu WANG,Jian SHA

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 4,   Pages 649-664 doi: 10.1007/s11783-014-0702-9

Abstract: Fuzzy comprehensive assessment and multivariate statistical techniques including cluster analysis, discriminantto analyze the water quality status of Yuqiao Reservoir Basin, North China, for assessing its spatio-temporalThe results of fuzzy comprehensive assessment revealed that water quality in Yuqiao Reservoir Basin showedaffecting spatial variations, and Temp, pH and NO -N were identified as significant variables affecting temporal

Keywords： Fuzzy comprehensive assessment     multivariate statistical analysis     water quality    

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Indeterminacy Causal Inductive Automatic Reasoning Mechanism Based On Fuzzy State Describing

Yang Bingru,Tang Jing

Strategic Study of CAE 2000, Volume 2, Issue 5,   Pages 44-50

Abstract:

New framework of knowledge representation of fuzzy language field and fuzzy language value structureThen the generalized cell automation that can synthetically process fuzzy indeterminacy and random indeterminacyOn this basis, the new logic indeterminate causal inductive automatic reasoning mechanism which is basedon fuzzy state describing is brought forward.

Keywords： language value structure     generalized cell automation     generalized inductive logic causal model     automatic reasoning    

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Challenges and opportunities: from big data to knowledge inAI 2.0 Review

Yue-ting ZHUANG,Fei WU,Chun CHEN,Yun-he PAN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1,   Pages 3-14 doi: 10.1631/FITEE.1601883

Abstract: We conclude that integrating data-driven machine learning with human knowledge (common priors or impliciteffectively lead to explainable, robust, and general AI, as follows: from shallow computation to deep neural reasoningAI, namely AI 2.0, is positioned to reinvent computing itself, to transform big data into structured knowledge

Keywords： Deep reasoning     Knowledge base population     Artificial general intelligence     Big data     Cross media    

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Research on Knowledge-based Method for Satellite Fault Diagnosis and Prediction

Yang Tianshe,Yang Kaizhong,Li Huaizu

Strategic Study of CAE 2003, Volume 5, Issue 6,   Pages 63-67

Abstract: Usually, one kind of reasoning model can only diagnose and predict one kind of satellite faults.This paper proposes a new method in which the use of multi-modal reasoning for satellite fault diagnosisThe method has been used in the development of the knowledge-based satellite fault diagnosis and recovery

Keywords： satellite     fault     diagnosis     prediction     multi-modal reasoning    

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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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Characters of topological relations and its applications in spatial reasoning

Li Chengming and Liu Xiaoli

Strategic Study of CAE 2013, Volume 15, Issue 5,   Pages 14-19

Abstract: At last, the applications in spatial reasoning are proposed.

Keywords： topological relationship     composite of topological relations     spatial reasoning     algbra reasoning     logicalreasoning    

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Case-based reasoning for selection of the best practices in low-carbon city development

Zhenhua HUANG, Hongqin FAN, Liyin SHEN

Frontiers of Engineering Management 2019, Volume 6, Issue 3,   Pages 416-432 doi: 10.1007/s42524-019-0036-1

Abstract: This study introduces a case-based reasoning methodology for a specific city to select the best practices

Keywords： low-carbon city     carbon emission     best practices     case-based reasoning    

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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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Title Author Date Type Operation

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

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

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

Development and Prospect of Big Data Knowledge Engineering

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

Journal Article

Technologies and Applications of Big Data Knowledge Engineering for Smart Taxation Systems

Zheng Qinghua , Shi Bin , Dong Bo

Journal Article

The Research of Mining the Mutative Knowledge With Extension Data Mining

Chen Wenwei

Journal Article

Incomplete Fuzzy Information System

Yang Xibei,Yang Jingyu,Wu Chen,Fu Fan

Journal Article

Spatio-temporal variations of water quality in Yuqiao Reservoir Basin, North China

Yuan XU,Ruqin XIE,Yuqiu WANG,Jian SHA

Journal Article

Indeterminacy Causal Inductive Automatic Reasoning Mechanism Based On Fuzzy State Describing

Yang Bingru,Tang Jing

Journal Article

Challenges and opportunities: from big data to knowledge inAI 2.0

Yue-ting ZHUANG,Fei WU,Chun CHEN,Yun-he PAN

Journal Article

Research on Knowledge-based Method for Satellite Fault Diagnosis and Prediction

Yang Tianshe,Yang Kaizhong,Li Huaizu

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

Characters of topological relations and its applications in spatial reasoning

Li Chengming and Liu Xiaoli

Journal Article

Case-based reasoning for selection of the best practices in low-carbon city development

Zhenhua HUANG, Hongqin FAN, Liyin SHEN

Journal Article

Standard model of knowledge representation

Wensheng YIN

Journal Article