Solving the Ranking Problem by Using Fuzzy Automata
碩士 === 國立臺北商業技術學院 === 資訊與決策科學研究所 === 101 === This study proposes fuzzy automata to solve ranking problem. Our fuzzy automata consist of Fuzzy Theory and Automata. By using the ranks of the scores of students in class, we can verify the feasibility of our research. This study discusses how to rationa...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2013
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| Online Access: | http://ndltd.ncl.edu.tw/handle/20657634300121574414 |
| Summary: | 碩士 === 國立臺北商業技術學院 === 資訊與決策科學研究所 === 101 === This study proposes fuzzy automata to solve ranking problem. Our fuzzy automata consist of Fuzzy Theory and Automata. By using the ranks of the scores of students in class, we can verify the feasibility of our research. This study discusses how to rationalize the scores of students in class. Because of the main goal of our research is to find the top three students in the class. Our study restricts the effective samples to the students who take half of the total courses of the class. This research uses two first grade classes of a extension junior college to be our sample data. Our study is feature in Fuzzy Average formula. Fuzzy Average formula uses the scores of the courses which a student takes to fuzzify to a Fuzzification. In addition, if there exist students who's maximum fuzzy average values are the same, we will use Weighted Average Method to re-rank. The result shows that it is more suitable by using new fuzzy average formula to compute the rank of students than the previous method.
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