Institutional Repository of School of Information Engineering and Artificial Intelligence
Variable weights in MADM | |
Wang, Huiyong1; Wang, Jikui2; Tang, Shijie1 | |
2010 | |
会议录名称 | Proceedings - 2010 International Conference on Intelligent Computing and Integrated Systems, ICISS2010 |
页码 | 464-467 |
出版者 | IEEE Computer Society |
摘要 | Dealing with multi-attribute decision making (MADM) problems, the comprehensive weighted model is a simple tool. But how to determine weights is a critical problem in this method. In this paper, beginning with a discussion of the term "weight", we discuss present variable weighting methods. Then we propose an idea of denoting weights by a fuzzy set as well as a corresponding weight aggragate model. Finally, we prove the effectiveness of the model by a numerical experiment. © 2010 IEEE. |
关键词 | Intelligent computing Corresponding weights Critical problems MADM Multi attribute decision making Numerical experiments Variable Variable weighting Weight |
DOI | 10.1109/ICISS.2010.5656040 |
收录类别 | EI |
语种 | 英语 |
EI入藏号 | 20110313596130 |
文献类型 | 会议论文 |
条目标识符 | http://ir.lzufe.edu.cn/handle/39EH0E1M/9869 |
专题 | 信息工程与人工智能学院 |
作者单位 | 1.Guilin University of Electronic Technology, Guilin, Guangxi, China; 2.Lanzhou University of Finance and Economics, Lanzhou, China |
推荐引用方式 GB/T 7714 | Wang, Huiyong,Wang, Jikui,Tang, Shijie. Variable weights in MADM[C]:IEEE Computer Society,2010:464-467. |
条目包含的文件 | 条目无相关文件。 |
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