一、課程說明(Course Description)
<br>To investigte and discuss the newly developed methoddologies both in theory and on algorithm so that the uncertainty caused by complex or large-scaled problems can be analyzed and solved. 
<br>
<br> 二、指定用書(Text Books)
<br>
<br>
<br>Yager & Zadeh, Fuzzy Sets, Neural Nets, and Soft Computing, Van Nostrand Reihold, 1994
<br>
<br> 三、參考書籍(References)
<br>
<br>
<br>papers
<br>
<br> 四、教學方式(Teaching Method)
<br>
<br>This is designed in particular for the Ph.D. students so that through paper reading, discussion and brain storming, the sutdents can have deeper and wider insights towards OR development. Proposal of new ideas are thus highly encouraged. Different subjects will be instroduced by different lecturers. 
<br>
<br> 五、教學進度(Syllabus)
<br>
<br>1. Uncertain Systems vs Intelligent Resolution
<br>2. System Analysis
<br>   a). Data Analysis
<br>   b). Data Management
<br>3. Intelligent Resolution -- from hardware to brainware
<br>   a). Fuzzy Optimization
<br>   b). Heuristic Algorithms - GA, NN
<br>   c). Meta Heuristic Algorithms - Tabu, SA, Biological Systems
<br>   d). Hybrid Approaches
<br>4. Potential Development and Applications 
<br>
<br>
<br> 六、成績考核(Evaluation)
<br>
<br>
<br>30% - Participation in discussion
<br>30% - Presentation 
<br>40% - New Idea Proposal
<br>
<br> 七、可連結之網頁位址
<br>
<br>