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請使用永久網址來引用或連結此文件:
https://irlib.pccu.edu.tw/handle/987654321/21104
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| 題名: | GROUP ASSESSMENT METHODS BASED ON TWO ALGORITHMS OF THE LINEAR FUZZY LINGUISTIC |
| 作者: | Lin, L (Lin, Lily)
Lee, HM (Lee, Huey-Ming) |
| 貢獻者: | 資管系 |
| 關鍵詞: | Sampling survey
Fuzzy linguistic |
| 日期: | 2010-01 |
| 上傳時間: | 2011-12-15 14:38:42 (UTC+8) |
| 摘要: | Traditional group assessment is difficult in. reflecting groups complete and certain thought. Therefore, if we can use fuzzy sense to express the degree of interviewee's feelings based on his own concept, the result will be closer to interviewee's real thought. The purpose of this paper is to create two comprehensive algorithms for group assessment with the linear order fuzzy linguistic to do aggregated assessment analysis. Comparing with the two proposed fuzzy assessment methods on group assessment analysis, we have the same computing results. The computed results via the proposed two algorithms are more objective and unbiased than just one evaluator's assessment since they are generated by a group of evaluators. Moreover, if there is only one evaluator existing, the proposed model is also appropriate to assess. |
| 顯示於類別: | [資訊管理學系暨資訊管理研究所 ] 期刊論文
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