Fuzzy Comprehensive Evaluation Model based on Rough Set Theory

摘要：

Rough Set Theory was an effective tool in dealing with vague and uncertainty information. A new comprehensive evaluation model based on Rough Set Theory was proposed in the paper, computation of weighting coefficient in evaluation model was transformed into importance of attributes in Rough Set Theory, thus it effectively avoided subjectivity about weighting coefficient in fuzzy comprehensive evaluation, its evaluation results much more accord with the reality. Another contribution to the paper was a new attribute reduction algorithm by constructing generalized decision table was presented in the paper, it effectively reduced the computational complexity and increased reduction efficiency during reduction. Finally, they were applied to comprehensive evaluation about listed-corporate of China, evaluation result verified the feasibility and validity of the evaluation model proposed in the paper.

作者: Yitian Xu Laisheng Wang

作者单位: College of science China Agricultural University Beijing, 100083, China

会议类型: 国际会议

会议名称: Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

会议地点: 北京

会议语种:英文

页码: 877-880

在线出版日期: 2006-07-17（万方平台首次上网日期，不代表论文的发表时间）