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研究生: 黃正揚
Halim - Dinata
論文名稱: DEVELOPING A NOVEL METHODOLOGICAL FRAMEWORK FOR PROCEDURAL KNOWLEDGE ACQUISITION AND REPRESENTATION
DEVELOPING A NOVEL METHODOLOGICAL FRAMEWORK FOR PROCEDURAL KNOWLEDGE ACQUISITION AND REPRESENTATION
指導教授: 呂守陞
Sou-Sen Leu
口試委員: 陳鴻銘
Hung-Ming Chen
謝佑明
Yo-Ming Hsieh
學位類別: 碩士
Master
系所名稱: 工程學院 - 營建工程系
Department of Civil and Construction Engineering
論文出版年: 2015
畢業學年度: 103
語文別: 英文
論文頁數: 107
外文關鍵詞: Knowledge engineering, Knowledge Acquisition, Knowledge validation
相關次數: 點閱:217下載:1
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This thesis presents a methodological framework which integrates the knowledge acquisition and knowledge representation procedure to acquire knowledge of design. In previous studies, knowledge acquisition is identified as bottleneck and time-consuming process in expert system. During the study, several problems to convert knowledge from expert to the production rules are faced. The significant approaches developed are based on an experimental design and statistical background and they are applied to specific case studies, providing highly accurate results.
The objective of this thesis corresponds to an important part of knowledge acquisition aiming to the transform procedural knowledge into accessible rules form. Study case is applied in green building field especially in greenery design. The result proved that the finding methodology framework has an ability to overcome the limitation in previous study. The design of methodological framework together with their expected use in the future, are important elements related to the development of procedural rules using for design.
Due to the rapid development of knowledge in design, the framework should be extended to maintain the knowledge up-to date. The framework is only available for the same type of acquired knowledge.

CHAPTER 1 INTRODUCTION 1 1.1 Research Background 1 1.2 Research Objectives 3 1.3 Research Scope 3 1.4 Research Assumptions 4 1.5 Research Methodology 5 1.6 Research Outline 6 CHAPTER 2 LITERATURE REVIEW 7 2.1 Overview of Knowledge Engineering 7 2.1.1 Knowledge Elicitation 9 2.1.2 Major Categories of Knowledge 14 2.1.3 Source of knowledge 14 2.1.4 Multiple Expert 15 2.2 Knowledge Representation 16 2.3 Knowledge Validation 17 2.4 Summary 18 CHAPTER 3 RESEARCH METHODOLOGY 19 3.1 Research Flow Methodology 19 3.2 Methodological Framework. 21 3.3 Basic Concept of Taguchi Method 27 Design with Interaction 28 3.3.1 Projection Using Taguchi Method. 28 3.4 Categorical and Multinomial Logistic Regression 31 3.5 Data Mining 32 3.6 Summary 34 CHAPTER 4 MODELING AND VALIDATION 36 4.1 Summary of Primary Methodological Framework 36 4.2 Preprocessing (PRE) 38 4.2.1 Preparing Questionnaire 1 (PRE-1) 39 4.2.2 Interview Execution 1 (PRE-2) 39 4.2.3 Partitioning and Sub-grouping (PRE-3) 40 4.2.4 Constructing Orthogonal Array for Questionnaire (PRE-4) 46 4.3 Interview Execution II (P) 47 4.4 Post-Processing 47 4.4.1 Prediction (POST-1 and POST-2) 49 4.4.2 Data Transformation (POST-3) 52 4.4.3 Data Mining (POST-4) 53 4.5 Validation. 56 4.6 Summary 58 CHAPTER 5 METHODOLOGICAL FRAMEWORK CASE STUDY 60 5.1 Application in Greenery Design 60 5.2 Expert Comparison Analysis 70 5.3 Knowledge Validation 73 5.4 Technical Evaluation of Framework Process. 76 5.5 Summary 78 CHAPTER 6 CONCLUSION 79 6.1 Conclusion 79 6.2 Future Research 81 APPENDIX A: Taguchi Method Orthogonal Array 85 APPENDIX B: Questionnaire Form 1 87 APPENDIX C: Questionnaire Form II 89 APPENDIX D: Result of Questionnaire Form II 92 APPENDIX E: Production Rules of Greenery 94 APPENDIX F: Design Variable Combination Historical Data 95 APPENDIX G: Subgrouping Pattern 97

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